Abhishek Sharma is a seasoned software engineer with 12 years of experience designing and implementing large-scale distributed systems, specializing in cloud-native microservices, real-time streaming, and enterprise data lakes. He architects and deploys scalable solutions on Kubernetes and cloud platforms (AWS/GCP), and builds data tools that accelerate analytics and Data Scientist workflows. His technical depth spans Hadoop/Spark/Flink, Kafka/Pulsar, Pinot/Druid, Airflow, BigQuery and infrastructure-as-code (Terraform, Ansible), enabling end-to-end data delivery and usability improvements. He contributes to prominent open-source projects such as Apache Pinot, where he has enhanced backend query handling and SQL parsing robustness—demonstrating a practical focus on production-grade reliability. Based in Toronto, he also drives internal automation and cloud-native redesigns to boost scalability and operational efficiency.
Apache Pinot - A realtime distributed OLAP datastore
Role in this project:
Back-end Developer
Contributions:5 releases, 183 reviews, 161 PRs in 2 years 1 month
Contributions summary:Abhishek contributed to the Apache Pinot project by modifying backend components. Their work included updating code for handling directory configurations, adding logging for JVM options, and addressing type mismatches in function definitions. They also introduced changes for handling Join route parsing, including determining the common broker hosting all tables for join queries, and implemented a fix to handle SQL parsing errors.
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