Results-driven Data Engineer with expertise in Python, SQL, Snowflake, and cloud technologies (AWS 15+ services, GCP 10+ services). Proven ability to optimize data processes and reduce manual efforts by 90% through innovative ETL pipeline development. Skilled in big data frameworks with a strong focus on problem-solving, collaboration, and team management. Adept at leading teams to deliver impactful data solutions that improve operational efficiency and data quality.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Data Engineer
Lumiq
Noida
06.2022 - Current
Developed and refined ETL pipelines, achieving a 90% reduction in operational manual efforts for large-scale data transfers.
Migrated over 200TB of historical data from legacy systems and cloud sources to Snowflake, Redshift, and S3, enhancing data quality and security through a config-driven approach.
Implemented a config-driven alerting system for pipeline failures, significantly reducing downtime and enabling prompt resolutions.
Designed reusable, template-based data pipelines, standardizing processes, and improving deployment speed by 60%.
Created versatile data connectors for SFTP, SharePoint, AWS Redshift, GCP BigQuery, JDBC, ODBC, and Snowflake, facilitating seamless data integration.
Developed Snowflake dashboards for real-time system monitoring and failure tracking, providing insights that reduced manual effort by 90%.
Utilized the Snowflake copy command to optimize costs and accelerate data ingestion speeds, resulting in a 60% reduction in loading times while maintaining high performance.
Created multiple AWS Glue and DMS pipelines using a standardized ingestion framework and templates, ensuring seamless integration with a 70% reduction in setup time and minimal operational issues.
Software Engineer Intern
Lumiq
Noida
02.2022 - 05.2022
Developed automated scripts to simplify common tasks and reduce manual effort by 30%.
Engaged in client interactions pertaining to Proof of Concept initiatives.