Chaitanya Chandurkar

• Led development of a contract-driven, self-serving data platform, saving 15+ hours/week in manual work.
• Migrated legacy data ingestion pipelines to a modern platform, reducing latency by 95%.
• Migrated enterprise Kafka & Kafka Connect to self-hosted Kubernetes, cutting costs by $130k annually.
• Developed internal APIs & GitHub Actions to enhance platform interoperability.
• Implemented data anomaly detection & regression testing using Monte Carlo.

• Designed data enrichment & aggregation pipelines using Spark, Iceberg, S3, and Scala for a Financial Data Warehouse.
• Led data preparation for Payment Volume report, ensuring dollar-value accuracy.
• Automated CSV-based journal entry ingestion, saving 10+ engineering hours during month-close.
• Partnered with TPMs to translate business definitions into scalable data models.

McGraw-Hill Education — Senior Software Engineer

• Built data aggregation workflows to produce analytical reports used by millions of students & teachers.
• Re-modeled eventing data, improving data processing efficiency by ~60% and simplifying downstream ETL.
• Collaborated with data scientists and product managers to design scalable, ML-ready datasets for personalized learning experiences.

• Led migration from Elasticsearch-based microservices to streaming data pipelines, reducing costs by 40%.
• Optimized Spark pipelines & PostgreSQL queries, improving data processing SLA by 40%.
• Developed REST APIs in Node.js to ingest eventing data and expose processed analytics for reporting.
• Integrated custom logging, alerting, and metrics tracking into data pipelines, improving system reliability.

• Researched action-based vs change-based data provenance capturing techniques in web applications.
• Implemented SIMProv.js framework to capture, replay, and securely share an action-based data provenance.
• Integrated SIMProv.js framework with web applications and data visualizations for dogfooding.

• Global Aquaculture Alliance partnered with Preferred Freezer Services and UMass Dartmouth to build aquaculture facilities database. Goal was to provide a comprehensive picture of the aquaculture industry in four key areas: feed production, hatcheries, farming, and processing.
• Developed a web-based data visualization tool to analyze and compare aquaculture facilities data using Emberjs.
• Automated customized email sending using PHPMailer.