Summary
Production Data Engineer with 5+ years of experience building, operating, automating, and troubleshooting high-volume production data systems. Strong in Python, SQL, PostgreSQL, and Oracle, with hands-on experience in ETL pipelines, data ingestion, data modelling, schema design, and production reliability at approximately 50M records per day.
Skills
- Languages: Python, SQL, PL/SQL, Shell
- Data Engineering: ETL, ELT, Data Pipelines, Data Ingestion, Data Modelling, Data Warehousing, Batch Processing, Pandas, PySpark
- Databases: PostgreSQL, Oracle, DB2, Redis
- Backend: Flask, REST APIs, Stored Procedures, Database Design, Query Optimization
- Data Platforms: Databricks, ClickHouse
- DevOps: Docker, Git, Linux, GitHub Workflows
- Developer Tools: Cursor, Claude, GPT Codex, GitHub Copilot
- Other: Selenium, MoEngage
Experience
- Designed and operated ETL data pipelines processing approximately 50M records per day for high-volume batch data processing and downstream reporting
- Built a Flask and Pandas automation tool that reduced Vahan issue resolution from approximately 30 minutes to under 1 minute, earning the Tech Titan Award
- Resolved 4000+ production data issues and reduced the open backlog from approximately 600 to under 70
- Owned PostgreSQL schema design and DDL versioning in Git; implemented PII classification and secure credential storage for data quality and compliant handling
- Automated MoEngage customer notification workflows with SQL stored procedures for policy-renewal detection, eliminating redundant alerts
- Delivered ETL, data-ingestion, and schema work for Bima Satrak regulatory reporting; automated recurring credit-update and Excel-to-database ingestion with SQL and Pandas
- Built and maintained Oracle SQL and PL/SQL solutions, stored procedures, and production reports for banking and insurance data systems
- Owned production support and database incident response, diagnosed root causes, and deployed fixes across client environments
- Optimized SQL queries and stored procedures to improve database performance under high-usage production workloads
- Managed production database deployments, maintenance, and recovery across client environments
Education
- B.E. - RMK Engineering College - CGPA: 7.17