
Chetan Mittal
@chetanmittal
I build scalable cloud data pipelines, reconciliation systems, and streaming platforms.
What I'm looking for
At Amdocs, I build and deploy production data reconciliation and metadata-driven orchestration frameworks across AWS, Kubernetes, and Helm. I reconcile hundreds of millions of daily Oracle and BigQuery records across 200+ entities using PySpark and Pandas.
I automate data-quality recovery through Kafka-driven reprocessing, HTML reconciliation reporting, PostgreSQL metadata tracking, and AWS MWAA/Airflow orchestration. I also develop scalable ETL and streaming pipelines using Spark, Kafka, Cassandra, and SQLite across Silver and Gold data layers.
I previously improved backend reliability at Cvent through ASP.NET Core APIs and automated 177+ Selenium regression tests, reducing test failures from 60% to 0%. I also build real-time observability, anomaly detection, computer vision, and KYC platforms.
Experience
Work history, roles, and key accomplishments
Owns end-to-end production data reconciliation framework, deploying via Helm on Kubernetes and reconciling hundreds of millions of daily records between Oracle and BigQuery. Built metadata-driven orchestration using Apache Airflow and developed scalable ETL and streaming pipelines with Spark and Kafka.
Consumed and built RESTful APIs using ASP.NET Core within a multi-tier architecture and resolved production bugs. Automated 177+ UI regression tests using Selenium, integrated into CI/CD pipelines, reducing test failure rate from 60% to 0%.
Education
Degrees, certifications, and relevant coursework
Punjab Engineering College
Bachelor of Technology, Computer Science and Engineering (AI & ML)
2021 - 2025
Pursued a Bachelor of Technology in Computer Science and Engineering with a focus on AI and ML, graduating in 2025.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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