SENIOR DATA ENGINEER | AWS AZURE DATABRICKS AI-READY DATA PLATFORMS
New Delhi
Summary
Results-driven Cloud Data Engineer with over 3 years of experience in designing scalable, fault-tolerant data platforms on AWS and Azure. Expertise includes distributed Spark processing, metadata-driven ETL/ELT pipelines, serverless architectures, and CI/CD automation. Proven track record in creating production-grade data solutions that enhance reliability and performance, utilizing tools such as AWS Glue, Lambda, Azure Databricks, and Airflow.
Overview
4
4
years of professional experience
2
2
Certifications
Work History
Senior Data Engineer
Tata Consultancy Services (TCS) Ltd.
11.2022 - Current
Architected and migrated 15+ TB of biomedical and commercial data from on-prem SQL Server to AWS Aurora PostgreSQL using CDC-based ETL/ELT pipelines with AWS Glue, DMS, and Step Functions, achieving less than 5 minutes downtime.
Built distributed Spark and AWS Glue pipelines processing millions of records daily, improving throughput by ~35% through partition optimization, query pushdowns, and parallelism tuning.
Developed near-real-time ingestion and AWS Lambda-based automation workflows for Lilly Data Marketplace platform using EventBridge-driven orchestration and metadata-based routing, enhancing data accessibility and responsiveness.
Designed reusable schema evolution, metadata-driven ingestion, and enterprise data quality frameworks, reducing schema-related production incidents by ~90%, ensuring high reliability of downstream data.
Implemented CI/CD automation using GitHub Actions and CloudFormation across multi-account AWS environments, reducing deployment cycles from days to under 30 minutes.
Developed Azure Databricks notebook-based processing workflows using Medallion Architecture and Unity Catalog, orchestrated through Azure Data Factory (ADF) for scalable enterprise analytics.
Led and mentored team of 4 engineers, collaborating with enterprise stakeholders to implement scalable data platform enhancements for Eli Lilly, fostering team growth and project success.