Akash Ukande
Hyderabad
Summary
Principal Data Engineer with 10+ years of experience delivering enterprise-scale data engineering and data operations solutions across high-transaction industries including data annotation for frontier labs, online gaming, supply chain, pharmaceuticals, and retail. Proven expertise in architecting and operating cloud-native data platforms, building reliable batch and near-real-time pipelines, and enabling governed analytics and enterprise BI for decision-critical use cases. Strong track record of partnering with business, product, and leadership teams to translate complex requirements into scalable, compliant, and high-performance data solutions, with a focus on operational reliability, platform standardization, and data-driven product and revenue insights.
Overview
10
10
years of professional experience
Work History
Data Engineer
Deccan AI
11.2025 - Current
- Architected and scaled high-throughput data pipelines supporting AI media generation workloads (Text-to-Image, Image-to-Video, and Video-to-Video), integrating multiple LLM and generative AI services to process 4 million records per day, enabling reliable analytics, monitoring, and operational visibility.
- Designed and implemented a near real-time analytics platform on Google Cloud Platform (GCP) using Datastream (CDC) and BigQuery, achieving for customer-facing dashboards and significantly improving reporting latency and business decision-making.
- Built a production-grade Medallion Architecture (Bronze, Silver, Gold) with automated CDC-based ingestion every 15 minutes, delivering governed, analytics-ready datasets while improving data quality, lineage, and downstream query performance.
- Designed and developed the GTM data platform by integrating HubSpot, Smartlead, Granola, and Supabase into a centralized operational data store, with Grok MCP integration powering an internal LeadIQ platform for unified sales intelligence and end-to-end lead lifecycle management.
- Engineered hourly automated GTM pipelines that classified leads into Cold, Warm, and Hot categories using a proprietary response-time (TAT) scoring model, eliminating manual lead tracking and enabling near real-time sales prioritization.
- Designed and delivered scalable data products for analytics and AI use cases, reducing data preparation effort by 50% while accelerating insight generation and business decision-making.
- Developed resilient ingestion frameworks to capture high-volume structured and semi-structured data from Postgres DB, Mongo DB and other operational systems into governed analytical environments.
- Orchestrated complex end-to-end data workflows using Apache Airflow, automating scheduling, dependency management, monitoring, and recovery processes, reducing manual operational effort by 60%.
- Designed dimensional and semantic data models that delivered curated, business-ready datasets, improving metric consistency and reducing cross-functional data reconciliation efforts by 70%.
- Established data governance, quality validation, lineage, and documentation standards while mentoring engineering teams on best practices, enabling trusted, reusable data assets and accelerating the delivery of analytics solutions.
Lead Data Engineer
Head Digital Works
Hyderabad
08.2021 - 11.2025
- Owned and managed data engineering for a major revenue-generating product vertical, ensuring data availability, quality, and scalability for business-critical use cases
- Engineered and optimized Airflow pipelines for batch, Snowflake for near real-time, and Vertica for day-1 reporting using Python, SQL, and PySpark, integrating data from relational databases, flat files, CSV, and JSON sources; automated workflows reduced manual effort by 80% and improved reporting reliability
- Designed and implemented enterprise-wide BI architecture using MicroStrategy & PowerBI for 360 business insights (Revenue, Marketing, Retention, Strategy targets, Player behavior, Responsible gaming, Fraud)
- Developed scalable pipelines integrating marketing data from Google, Facebook, and Appsflyer into the BI ecosystem, providing channel and campaign-level visibility of newly acquired users and enabling Marketing teams to track and optimize KPIs such as CPAC, CPR, and Break-even factor
- Engineered a comprehensive reconciliation system to track end-to-end money movement across the platform, generating detailed reports to identify mismatches; implemented multi-level checks (system-level, user-level, bank, and game-level) to pinpoint discrepancies, detect bugs worth ₹5 Cr+
- Using Snowpipe, Streams and Tasks engineered real-time tracking and reporting solutions for mega gaming event (Maha Mela), enabling multi-level mission design and player progress monitoring, ensuring seamless execution of high-value event worth ₹100 Cr
- Developed and delivered critical reporting for data due diligence of potential investors, audit and compliance requirements for the finance team, and board-level MIS reviews to support strategic decision-making
- Performed proof-of-concepts (POCs) and quality assurance validation for new feature releases, ensuring seamless integration with existing pipelines and reducing failures due to system or schema changes by 20%
- Led cross-functional collaboration with development and business teams to integrate new product data into ETL pipelines, define and standardize business metrics, ensuring accurate, consistent, and decision-ready reporting
Customer Insights Analyst
E2Open Software Ltd
Pune
09.2020 - 08.2021
- Led core schema development, data modeling, and end-to-end BI deliverables including Power BI & MicroStrategy dashboards, dossiers, and reports tailored to business requirements for clients like Walmart, Target, Mars
- Created and maintained data warehouse for clients like Walmart, Target, Amazon & Mars for data reporting and semantic layer landscape for MicroStrategy and Power BI
- Collaborated with customers and product leaders in design requirement calls, driving solution design like Planogram, transport order penalty estimates for Amazon, ensuring timely delivery within Agile sprints
Senior Engineer
InfoCepts Data & AI
Nagpur
07.2016 - 08.2020
- Owned end-to-end development of data warehouse from requirement gathering to schema/pipeline design, thereby helping UAT/QA teams to test performance and optimization of dashboards (runtime
- Developed executive-level product analytics reports that guided strategic decisions on new product launches, growth opportunities, and brand cannibalization, enabling retail clients such as Mondelez, Lavazza, and Nestlé
- Developed BI solutions for retail analytics, building data pipelines and dashboards to analyze regional and store-level performance, enabling data-driven decision-making and iPad reporting for a pharmaceutical client Vertex
Education
Bachelor of Engineering - Computer Technology
Yeshwantrao Chavan College of Engineering (YCCE)
Nagpur, M.H.05.2016
Skills
- Snowflake Data Warehousing
- Airflow
- Python
- MicroStrategy
- Power BI
- Linux
- Spark
- Data Warehousing
- Git and Github
- Enterprise Data Modeling (LDM / PDM)
- Enterprise Data Engineering & Reporting
- Advanced SQL (Optimization, Frameworks, Automation)
- Cloud Data Architecture
- Data Pipeline Reliability, Monitoring & Performance
- Data Governance, Security & SOX Compliance
- Self-Service Analytics Enablement & Platform Adoption
Timeline
Data Engineer
Deccan AI
11.2025 - Current
Lead Data Engineer
Head Digital Works
08.2021 - 11.2025
Customer Insights Analyst
E2Open Software Ltd
09.2020 - 08.2021
Senior Engineer
InfoCepts Data & AI
07.2016 - 08.2020
Bachelor of Engineering - Computer Technology
Yeshwantrao Chavan College of Engineering (YCCE)