Abhinav G

About Abhinav G

With over 9 years of practical experience in the IT sector, I focus on creating and optimizing data solutions that contribute to business growth. My expertise spans a variety of technologies, including the Hadoop ecosystem (Hadoop, MapReduce, HDFS, HBase, Hive, Sqoop, Flume, Cassandra, Kafka, and Spark), cloud platforms like GCP (BigQuery, Cloud Dataflow) and AWS (EMR, S3, RedShift), as well as agile methodologies such as extreme programming, SCRUM, and Test-Driven Development (TDD). I have a strong ability to fine-tune Spark jobs, manage data pipelines, and leverage tools like Hive, HQL, and custom Python MapReduce programs for data insights. With a commitment to continuous improvement, I excel in dynamic, innovative, and collaborative environments.

Experience

1. Senior Data Engineer Ab Initio Data Engineer

   Cigna Healthcare

   Jul 2023 — Present · Bloomfield, CT, US

   Designed and developed ETL processes using Ab Initio to extract, transform, and load data from various sources (databases, flat files, APIs) into data warehouses and data lakes.Built and optimized Ab Initio data graphs and batch processing workflows to meet performance and scalability requirements for high-volume data integration.Implemented Change Data Capture (CDC) techniques to ensure real-time data processing and incremental data loads for critical business applications.Developed data pipelines using Ab Initio to integrate data from heterogeneous systems, improving the accuracy and speed of data availability for reporting and analytics.Collaborated with Business Analysts and Product Managers to gather data requirements, translating them into scalable data integration solutions using Ab Initio.Optimized ETL processes by fine-tuning Ab Initio graphs for better performance, reducing data processing time by 30% for large datasets.Performed comprehensive unit testing of data pipelines and developed automated testing frameworks to ensure data integrity and reliability before production deployment.Troubleshot and resolved production issues, improving system uptime and data accuracy by identifying and fixing issues in data flow and transformation logic.Documented technical designs, data flows, and operational runbooks to ensure smooth handover of data processes and ease of maintenance.Delivered data pipeline enhancements and bug fixes, reducing downtime by 20% and enabling continuous data processing even in failure scenarios.Collaborated with Data Architects to design and implement data models that aligned with both business needs and technical requirements, ensuring seamless data flow and integration.Worked in an Agile environment, contributing to sprint planning and delivering ETL features and bug fixes in timely increments.

Education

• MVSR Engineering College

  Bachelor's degree

  2010 — 2014