Summary
Overview
Work History
Education
Skills
Certification
Personal Information
Timeline
Generic
Susanta Mohapatra

Susanta Mohapatra

Principal Architect, Senior Leader
Bengaluru

Summary

Engineering leader with proven record of driving successful projects and delivering impactful results. Expertise in software development, systems architecture, and process optimization. Strong emphasis on team collaboration and adaptability to meet evolving project demands. Known for fostering innovation, strategic planning, and effective problem-solving.

Skills: java, python, micro services architecture ( Spring, Hibernate, Mesos, Kubernets, Kafka, RabbitMQ, MongoDB, GraphQL, AWS OpenSearch ) , big data technologies ( AWS EMR, EMR Serverless, AWS MSK - Managed Kafka Service, AWS Managed Flink Service, AWS Data FireHose, Lambda, AWS Athena, AWS Managed Apache Airflow, S3, Dynamodb, Google DataProc, BigTable, BigQuery, Apache spark, hive ) on premise and cloud ( aws, azure, google cloud )

Overview

18
18
years of professional experience
2037
2037
years of post-secondary education
2
2
Certifications
2
2
Languages

Work History

Director of Engineering

PriceEasy AI
Bangalore
01.2025 - 06.2025
  • Led engineering department in developing and implementing innovative solutions, resulting in a 50% improvement in product quality and a 20% reduction in production costs per month basis.
  • Directed cross-functional teams to integrate automation systems, which streamlined operations, achieving a 50% boost in operational efficiency and reducing manual effort by 80%.
  • Delivered complex nonfuel analytical dashboards, incorporating industry-standard KPIs and near real-time metrics, resulting in improvement in decision-making speed and a 50% reduction in data processing latency through optimized data pipelines.
  • Led enterprise-wide master data management (MDM) initiatives, consolidating nonfuel master data into a centralized view, improving data accessibility by 90% and ensuring SLA compliance at 98%+ uptime.
  • Developed and launched the in-store price survey feature across mobile platforms, leveraging Vision AI to process survey videos with 95%+ product recognition accuracy and 60%+ price match rate, reducing manual survey effort by 60%.
  • Spearheaded invoice processing automation using computer vision and ML, enabling automated extraction and validation of line items from paper and digital invoices, achieving 90%+ processing accuracy and reducing invoice turnaround time by 60%.

Principal Architect

HiLabs
Bangalore
11.2023 - 07.2024
  • Designed and implemented end-to-end orchestration of data pipelines for HiLabs’ flagship mCheck platform, supporting their largest client with over 100M+ records processed monthly. This included complex workflows involving data pre-processing, web scraping, attribute validations, and AI-powered augmented responses using Google Gemini, resulting in 30% faster issue resolution for client datasets.
  • Collaborated daily with data science and engineering teams to develop reusable interfaces and components, reducing integration time with Apache Airflow-based orchestration engines by 70%, and standardizing pipeline development across teams.
  • Owned and optimized all production data pipelines, improving scalability and execution time by 40%, while reducing infrastructure costs by 50% through memory and parallelism tuning, eliminating the need for manual interventions.
  • Evaluated and tested multiple cost-effective architectural solutions, running 5+ production-grade POCs that reduced deployment costs by up to 30%, while ensuring the ability to scale dynamically with fluctuating data loads.
  • Led system architecture discussions with cross-functional stakeholders, introducing reusable design patterns and deployment blueprints, which accelerated new module onboarding time by 35% and improved cross-team alignment.
  • Leveraged cloud computing platforms (AWS/GCP) to enhance system performance and automate resource allocation, leading to a 60% improvement in job execution reliability and faster job completion across projects.
  • Conducted rigorous code reviews and architectural assessments, enforcing industry best practices and driving a 80% reduction in production incidents. Mentored junior engineers, fostering a culture of quality and continuous improvement.

Consultant Architect

Self-employed
Bangalore
09.2023 - 11.2023
  • Architected multi region and continent microservices deployment architectures using Java and springboot and streamlined deployment by reducing 50% manual cost and significant reduction in time to market.
  • Led the design and development of database change management processes which resulted in streamlining operations and 50% reduction in production incidents.

Engineering Manager

Tekion Corp
Bangalore
06.2021 - 08.2022
  • Led integration efforts and implemented a multi-tenancy architecture for the Vehicle Configurator experience within the digital retail platform, enabling onboarding of 5+ OEMs and 1000+ dealers with 99% tenant isolation reliability and seamless configuration customizations.
  • Managed multiple product releases for new vehicle configurator launches, delivering features to 3 major enterprise customers, resulting in a 20% reduction in post-launch defects and improved time-to-market by 35%.
  • Revamped both backend and frontend architecture, consolidating disparate implementations into a unified microservices-based architecture. This reduced code duplication by 40%, improved deployment velocity by 60%, and enabled faster rollout of features across OEMs.
  • Coordinated across 6+ cross-functional engineering teams and business stakeholders during high-impact release cycles, maintaining 100% adherence to delivery timelines and resolving cross-team blockers with a 90% resolution rate before escalation.
  • Collaborated closely with clients, QA, product managers, and performance teams to define release scope and ensure quality delivery of features, achieving 98% client satisfaction in quarterly reviews and reducing pre-release defect leakage by 50%.
  • Tech stack utilized: Java Microservices, Spring Framework, Kafka, MongoDB, React, New Relic, ELK — architected scalable solutions that handled millions of configuration requests per month with

Software Development Manager 2

Intuit
Bangalore
02.2020 - 05.2021
  • Leading the CDC (Change Data Capture) processing and reconciliation components in the data ingestion pipeline, supporting 200+ active pipelines across 10,000+ source tables, with a 99.8% data consistency rate and near real-time ingestion performance.
  • Managing cross-functional teams and delivery execution, coordinating with principal engineers, product managers, and 20+ engineers, delivering 20+ data ingestion features per quarter with 100% on-time delivery rate and
  • Architected and maintained CDC processing components using a modern tech stack including Java, Microservices, Oracle GoldenGate, Debezium, Kafka Connect, AWS, Kubernetes, and Apache Beam, ensuring high-throughput processing of 500M+ change events daily with
  • For non-Oracle databases (PostgreSQL, MySQL, etc.), implemented a Debezium-based Kafka Connect architecture, achieving >95% event schema validation accuracy and scalable ingestion throughput up to 1M events/min.
  • For Oracle-based systems, led the integration of Oracle GoldenGate Adaptors, optimizing trail file parsing to support high-volume ingestion while reducing processing errors by 30%.
  • Modernized the deployment and orchestration architecture by introducing Kubernetes-based automation, resulting in 40% reduction in deployment time, 50% fewer manual interventions, and improved system uptime to 99.9%.
  • Owned the design and performance of the reconciliation engine (Kafka Connect Writer, Apache Spark, Hive, Tidal, AWS EMR), validating CDC data with automated parity checks — achieving 99.5%+ parity match rate with source systems.
  • Scheduled and executed 500+ batch reconciliation jobs weekly via Tidal, handling dependency resolution and job sequencing for data correctness across 3+ petabytes of data.
  • Leading the modernization of reconciliation infrastructure, transitioning from AWS EMR to Spark on Kubernetes, targeting a 30% reduction in infrastructure costs and 2x improvement in job execution speed.
  • Developed automated full-table and sampled parity checks, improving reconciliation audit coverage by 60% and reducing manual QA efforts by 80%.

Software Development Manager

Jumio Corporation
Bangalore
02.2020 - 04.2021
  • Led all development activities for the Machine Learning Development Squad, managing a cross-functional team of 10+ engineers and data scientists, resulting in the successful delivery of 5+ production-grade ML services with 99.9% uptime.
  • Coordinated with 6+ stakeholder groups including AI, Dev, DevOps, QA, and Product Managers to build scalable solutions from the ground up, ensuring on-time delivery for 95% of sprints and reducing cross-team communication delays by 40%.
  • MLDI Squad:
  • Built a high-throughput platform to ingest and process 100K+ datasets per day for ML training, resulting in 3x faster model iteration cycles and improved data freshness.
  • Designed and deployed the DerivedData Service, processing 10+ TBs of training data daily with scalable, fault-tolerant infrastructure on AWS, maintaining >99.5% availability.
  • Developed and deployed custom SageMaker Docker images (with integrated Python clients), which reduced ML job setup time by 30% and standardized dataset access for all model pipelines.
  • Implemented real-time PII data wipeout using AWS Lambda, ensuring compliance with GDPR/CCPA and maintaining
  • Oversaw service deployments on AWS Fargate, automating rollouts and health checks, contributing to a 60% reduction in operational overhead and zero downtime during updates.
  • Achieved 5–9 ms latency for read/write operations of large ML datasets, enabling efficient access for training pipelines that reduced training data load time by 45%.
  • Tagging Infra Squad:
  • Developed a Tagging Platform to support ML data labeling workflows, capable of ingesting data from 10+ internal services, which accelerated feature engineering efforts by 50%.
  • Designed and implemented a robust migration strategy for a key tagging service from production to sandbox with minimal downtime and 100% dependency integrity, enabling safe experimentation environments for ML models.
  • Fraud Database:
  • Designed and built a fraud detection database optimized for ML use-cases, capable of storing and serving millions of records with automated retention and wipeout policies, increasing detection accuracy by 25% and reducing false positives by 15% in model output.
  • Mentored 4+ junior developers, conducting weekly design reviews and 50+ PR reviews, leading to 20% improvement in code quality and faster onboarding of new team members.

Sr Technology Lead

Société Générale
Bangalore
08.2016 - 02.2020
  • Contributed to the development of a pre-trading decision support platform for the Gas, Power, and Energy sectors, enabling real-time analytics that supports $100M+ in daily trading decisions by front-office analysts.
  • Built a scalable data mining pipeline that aggregates and processes data from 50+ external and internal sources, including gas flows, power prices, and weather feeds, achieving sub-5 second latency for real-time event processing and >99.9% system uptime.
  • Led the full-scale migration of the platform from Oracle to a Big Data stack, resulting in a 60% reduction in licensing and infrastructure costs, and enabling 2x faster query performance for time-series data retrieval.
  • Designed and implemented real-time and batch feed processing pipelines, increasing system throughput by 70% and ensuring data freshness SLAs of under 60 seconds for key trading signals.
  • Wrote optimized algorithms for real-time time-series aggregations of feed data, improving computational efficiency by 40% and supporting live dashboards used by 50+ front-office analysts.
  • Migrated core data workloads to HDP 2.6-based Data Lake, stabilizing performance in production across 5+ TB of data daily, and reducing data pipeline failures by over 80%.
  • Proposed and implemented feature enhancements in the data lake architecture, supporting 4 new data ingestion pipelines and 3 custom analytics workflows, extending the platform’s capability to cover new energy markets.
  • Developed a proof-of-concept Alexa chatbot, enabling voice-based query access to power market data, which improved internal analyst efficiency by 30% in ad hoc data exploration scenarios.

Associate

Goldman Sachs
Bangalore
10.2013 - 08.2016
  • Contributed to the OTC Derivatives Platform for FX and Commodities, supporting trade lifecycle management for billions in notional value across global markets with 99.99% system reliability.
  • Specialized in the commodities side, collaborating with 10+ upstream and downstream systems, delivering 15+ new product features that enhanced trade capture, lifecycle events, and reconciliation processes, leading to a 25% improvement in processing accuracy.
  • Implemented regulatory reporting modules for multiple jurisdictions including CFTC, ESMA, NSD, REMIT, HKMA, enabling 100% compliance coverage and reducing reporting discrepancies by over 40%, supporting daily submission of 500K+ transaction reports.
  • Engineered a reliable and efficient data archiving and warehousing strategy for OTC derivatives, migrating 5+ years of historical data from OLTP to OLAP systems, resulting in 40% reduction in OLTP database size and 35% improvement in transactional performance.
  • Developed a custom workflow processing engine for handling trade errors and exceptions using BPMN workflows, Elasticsearch, and Kafka, enabling real-time alerting and reducing issue resolution time by 60%, while improving audit trail visibility across regulatory and compliance operations.
  • Automated exception handling for trade discrepancies, reducing manual intervention by 70%, and improving STP (Straight-Through Processing) rates from 75% to over 92%.

Senior Member of Technical Staff

Oracle
Bangalore
02.2009 - 09.2011
  • Worked on the Oracle SES ( Secure Enterprise Search ) crawling framework to enhance the XML connector.
  • Added feature for diagnostics / error tracking during the crawl life-cycle to report the status of the crawl from the point of failure.
  • Enhanced the SES touch point with products to support various authentication schemes like ORASSO, FORM, NATIVE for uploading the crawl status feed.
  • Added the feature in product to enhance the crawler cookie handling.
  • Performed crawl fetch throughput benchmarks and improved SFTP based crawling performance 2x times.
  • Improved the fetch throughput for the pre-fetch scenarios for hierarchical XML feed.
  • Distributed Crawler: Enhanced hierarchical XML connector to scale-out for distributed processing of data.
  • Designed a distributed blocking queue implementation.
  • Enhanced XML connector for distributed pre-fetching/recovery use-cases.
  • Push Crawling feature of SES: Integrated with the management & administrative tools like Oracle Enterprise Schedules Service (ESS), central credentials storage framework (CSF) for crawl to be managed by the SES admin.
  • Enhanced performance to crawl millions of documents running for weeks.
  • Worked on Oracle Cloud Search Solution: Worked on SEaaS, SFaaS deployments of search as service solutions.
  • Worked on the product lifecycle management for patching/rehydration/scale-out cases.
  • Created integration APIs for monitoring of node health/service health via EM.
  • Wrote scripts for service level configuration of parameters like load/data size etc.
  • Windows Native Authentication: Enhanced the existing solution to be ported to the SES Single-sign-on framework.
  • Added integration support with weblogic middleware stack for ease of use and manageability.
  • Designed the features to work on both SSO/non-SSO env.

Software Developer

Pontiflex
04.2008 - 08.2008
  • Worked on Data Transfer product to support many enhancements - filtering rules, advanced & custom attribute support.
  • Developed the auto-responder module from scratch to integrate with ExactTarget (ESP).
  • Developed auto-responder to integrate with existing campaign-IO & developed a common framework to support multiple ESP.
  • Worked on developing the email creation module by working closely with UI developers.
  • Worked on stats collection for ESPs open/click/sent counts etc to run on daily basis reliably.
  • Worked on Campaign Monitoring System to track down campaigns based on multiple threshold rules.
  • Worked on Encrypted Data Transfer modules to support various encryption techniques for various modes of transfer like http/ftp/email.
  • Worked on Android SDK development for ads developed on html/javascript.

Assistant Manager

MakeMyTrip.com
04.2007 - 03.2008
  • Worked on B2B product for flights to support rule based service charge.
  • Worked on ease of use for business user to support excel based rule definitions.
  • Worked with the flights team to support easier integration.

Education

PGDDS - Data Science

International Institute of Information Technology Bangalore
Bangalore
04.2001 - 12.2018

MBA - PGSEM - Software Management, Finance, Marketing, Strategy

Indian Institute of Management Bangalore
Bangalore
12-2013

BTECH -

Indian Institute of Technology, Kanpur
Kanpur
06.2006

Skills

Data Science

Machine Learning

Data Engineering

Microservices

Python

undefined

Certification

Applied AI with DeepLearning, Coursera, https://www.coursera.org/account/accomplishments/verify/XZULMWUFK33D, 12/01/18

Personal Information

  • Date of Birth: 10/18/84
  • Nationality: Indian

Timeline

Director of Engineering

PriceEasy AI
01.2025 - 06.2025

Principal Architect

HiLabs
11.2023 - 07.2024

Consultant Architect

Self-employed
09.2023 - 11.2023

Engineering Manager

Tekion Corp
06.2021 - 08.2022

Software Development Manager

Jumio Corporation
02.2020 - 04.2021

Software Development Manager 2

Intuit
02.2020 - 05.2021

Sr Technology Lead

Société Générale
08.2016 - 02.2020

Associate

Goldman Sachs
10.2013 - 08.2016

Senior Member of Technical Staff

Oracle
02.2009 - 09.2011

Software Developer

Pontiflex
04.2008 - 08.2008

Assistant Manager

MakeMyTrip.com
04.2007 - 03.2008

PGDDS - Data Science

International Institute of Information Technology Bangalore
04.2001 - 12.2018

MBA - PGSEM - Software Management, Finance, Marketing, Strategy

Indian Institute of Management Bangalore

BTECH -

Indian Institute of Technology, Kanpur

Similar Profiles

CREATE PROFILE
Susanta MohapatraPrincipal Architect, Senior Leader