Summary
Overview
Work History
Education
Skills
Certification
Additional Information
References
Principal Level Impact Highlights
Core Technical Skills
Timeline
Generic
DHANYAN K I

DHANYAN K I

Bengaluru

Summary

Principal Architect and Software Engineer with over 11 years of experience in designing and delivering cloud-native, data-intensive platforms across FinTech and analytics sectors. Expertise in Java, Spark, Kafka, AWS, and Azure. Led architecture and strategy for mission-critical systems, enhancing performance and reliability. Influenced design decisions and mentored engineers to foster best practices within high-performance teams.

Overview

11
11
years of professional experience
1
1
Certification

Work History

Software Engineer III (Senior IC)

JP Morgan Chase & Co
Bengaluru
01.2023 - Current
  • Architected and developed PB RADAR, a cloud-native data sourcing platform using Java, Spring Boot, Databricks, and AWS, enabling scalable ingestion and processing of enterprise datasets.
  • Drove ~40% reduction in ingestion latency, 3x improvement in pipeline throughput, and achieved 99.99% SLA for system reliability.
  • Designed event-driven microservices with Kafka and GraphQL, reducing downstream latency and improving data availability.
  • Implemented Infrastructure-as-Code (Terraform); deployed services on AWS ECS and Lambda, improving deployment consistency and reliability.
  • Owned production readiness, implementing monitoring, alerting, and performance tuning for mission-critical internal platforms to enhance operational stability.
  • Built high-throughput microservices for audit workflows (GO / AOA OneView) with Spring Boot, Kafka, and Oracle, ensuring idempotent, fault-tolerant processing that met banking and audit compliance standards.

Senior Data Engineer

TEK Systems (Client: Adobe)
10.2021 - 01.2023
  • Optimized Spark jobs, reducing processing cost by ~35% and analytics turnaround time from hours to minutes.
  • Designed and optimized petabyte-scale Spark pipelines, enhancing behavioral and analytics data processing.
  • Built reliable batch and streaming pipelines with Spark, Hadoop, Hive, Kafka, and Scala, ensuring seamless data flow.
  • Improved data quality and processing efficiency through partitioning strategies, broadcast joins, and job tuning.
  • Collaborated across AWS, Azure, Databricks, and Cloudera to support hybrid cloud analytics initiatives.

Software Engineer (Senior IC)

Société Générale Global Solution Centre
05.2019 - 10.2021
  • Implemented Kafka-based ingestion and HBase-backed storage for scalable analytics, supporting real-time data access.
  • Enabled scalable ingestion of 10+ TB/day, improved audit traceability by 50%, and ensured compliance-ready data pipelines.
  • Led development and modernization of regulatory-compliant data lake, migrating legacy batch systems to Spark-based pipelines, enhancing data processing capabilities.
  • Partnered with stakeholders to ensure data reliability and traceability, improving audit readiness across systems.

Analyst / Senior Engineer

Larsen & Toubro Infotech (Client: Cisco Systems)
03.2018 - 05.2019
  • Improved deployment speed by 4x and platform scalability to support hundreds of concurrent workloads.
  • Containerized workloads using Docker and Kubernetes, improving deployment velocity.
  • Created RESTful services using Spring Boot and JAX-RS, facilitating seamless integration and communication between systems.
  • Constructed cloud-based big data execution platform for Spark and Hadoop workloads, enabling scalable data processing.

Software Engineer

CommerceIQ
03.2016 - 03.2018
  • Developed scalable backend components for e-commerce analytics platform, enhancing data processing capabilities.
  • Implemented data scraping and processing services for pricing, promotions, and assortment analytics, improving data accuracy and relevance.
  • Increased data freshness by 60% through improved scraping and data pipelines.
  • Improved system stability through rigorous unit and integration testing.

Software Engineer

ThinkCore Technologies
12.2014 - 03.2016
  • Led full lifecycle development: design, coding, testing, production support for enterprise Java applications.
  • Designed and implemented enterprise Java applications supporting financial workflows (LitCap – Litigation Funding Platform).
  • Reduced production defects by 30% through better design, testing, and code quality practices.
  • Mentored junior developers, fostering best practices in Java development and enhancing team capabilities.

Education

B.Tech - Electronics & Communication Engineering

SNGCE
Kolencherry
01.2013

Skills

  • Java
  • Python
  • Scala
  • Spring Boot
  • Microservices
  • API development
  • GraphQL
  • JAX-RS
  • Hibernate
  • SQL
  • Oracle
  • PostgreSQL
  • MySQL
  • MS SQL Server
  • Snowflake
  • Docker
  • Kubernetes
  • Helm
  • Terraform
  • AWS
  • EKS
  • ECS
  • Lambda
  • S3
  • SQS
  • SNS
  • Azure
  • AKS
  • Apache Spark
  • Hadoop
  • Hive
  • HBase
  • NiFi
  • Kafka
  • Zookeeper
  • Prometheus
  • Grafana
  • CI/CD
  • Bash
  • Linux
  • Git
  • GitHub
  • Bitbucket
  • IntelliJ
  • Eclipse
  • JUnit
  • TestNG
  • JMeter
  • Cucumber
  • Event-driven systems
  • Streaming
  • Fault Tolerance
  • Idempotency
  • Distributed computing
  • Microservices design
  • Big data analysis
  • Infrastructure automation
  • Pipeline optimization
  • Solution integration
  • Troubleshooting
  • Software testing and implementation
  • Code reviews
  • Application programming
  • System Design
  • Object-Oriented Design
  • Data analysis
  • Database programming
  • Problem solving
  • Issue resolution
  • Cross-team collaboration
  • Agile methodologies
  • SDLC expertise
  • Product development
  • Automated deployments
  • Security best practices
  • Logging & Alerting
  • Programming
  • SDLC
  • Software testing
  • Microservices
  • Fault Tolerance
  • Distributed computing
  • Container orchestration tools
  • Agile methodologies
  • API design

Certification

Oracle Certified Professional – Java SE Programmer (SCJP)

Additional Information

Open for Principal / Staff Architect roles in FinTech, Big Data, and Cloud Platforms., Willing to work on highly scalable, distributed, and mission-critical systems.

References

Available upon request.

Principal Level Impact Highlights

  • Designed and delivered distributed systems handling large-scale data and high-throughput workloads.
  • Demonstrated architectural ownership across backend, data, and cloud layers.
  • Strong focus on reliability, scalability, observability, and compliance.
  • Proven ability to influence design decisions and mentor engineers without formal authority.
  • Guided engineers on system design, code quality, and distributed systems best practices.
  • Partnered with product, risk, and data science teams to deliver business-critical platforms.

Core Technical Skills

Java, Scala, Python, Bash, SQL, HTML, CSS, Spring Boot, JAX-RS, Microservices, GraphQL, Hibernate, Microservices, Event-Driven Architecture, Streaming, Fault Tolerance, Idempotency, Apache Spark, Hadoop, Hive, HBase, NiFi, Kafka, Zookeeper, AWS (EKS, ECS, Lambda, S3, SQS, SNS), Azure (AKS), Databricks, Terraform, Docker, Kubernetes, Helm, CI/CD, Prometheus, Grafana, Logging & Alerting, JUnit, TestNG, JMeter, Cucumber, Oracle, PostgreSQL, MySQL, MS SQL Server, Snowflake, Object-Oriented Design, System Design, High Availability, Scalability, Git, GitHub, Bitbucket, IntelliJ, Eclipse, Linux

Timeline

Software Engineer III (Senior IC)

JP Morgan Chase & Co
01.2023 - Current

Senior Data Engineer

TEK Systems (Client: Adobe)
10.2021 - 01.2023

Software Engineer (Senior IC)

Société Générale Global Solution Centre
05.2019 - 10.2021

Analyst / Senior Engineer

Larsen & Toubro Infotech (Client: Cisco Systems)
03.2018 - 05.2019

Software Engineer

CommerceIQ
03.2016 - 03.2018

Software Engineer

ThinkCore Technologies
12.2014 - 03.2016

B.Tech - Electronics & Communication Engineering

SNGCE
DHANYAN K I