Nikhil Chole
Senior Data Engineer @ Axis Bank | IIT Kanpur
- Role
- Senior Data Engineer at Axis Bank
- Location
- Mumbai, MH, IN
- LinkedIn followers
- 500 followers
About Nikhil Chole
An accidental Data Engineer who fell in love with the world of data systems :DOver the last 5+ years, I’ve built reliable data pipelines and platforms to fuel analytics and ML systems.Core Strengths- Data pipeline architecture experience with on-premises and Cloud platforms (AWS)- Deep understanding of distributed data processing- Proven Experience in Data modeling and warehouse design- Data Structures and Algorithms and Performance optimization for large-scale datasetsTech Stack:Python • Apache Spark • Kafka • SQL • Hive • Iceberg • S3 • CICD • Git • Informatica Power Center • Control M • Oracle Exadata • MPP Databases • Neo4j • Cypher I am particularly interested in distributed systems, data platform architecture, and building reliable data infrastructure at scale.
Experience
Senior Data Engineer
May 2024 — Present · Mumbai, IN
Designed and implemented a Jenkins CI/CD pipeline with a reusable shell script to standardize PySpark deployments across all Spark jobs. This removed the need for job-specific scripts and centralized JAR dependency management, reducing deployment time and saving several hours of manual effort in each release cycle.• Migrated legacy 100+ Hive tables to Apache Iceberg and built an automated maintenance pipeline. This modernization of the lakehouse architecture significantly reduced HDFS storage usage and removed the need for manual table maintenance.• Built a Credit Card Customer Feature Store that consolidated customer-level attributes into a single source of truth. This enabled reuse across multiple analytics, campaign, and ML pipelines, reducing duplicate development work for Data Science and Analytics teams.• Implemented a centralized source control framework integrated with Control-M file watcher jobs. Spark pipelines now trigger automatically only when all upstream data sources are ready, eliminating manual dependency monitoring.• Optimized existing Spark jobs by tuning configurations and restructuring processing logic, achieving an 80% reduction in processing time and lowering compute costs across the data platform.
Education
Indian Institute of Technology, Kanpur
Bachelor's Degree, Economics
2019 — 2020
Indian Institute of Technology, Kanpur
Bachelor of Technology, Chemical Engineering
2015 — 2019
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