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Harish Rajoori

@harishrajoori

Staff Data Engineer specializing in 10 Years Architecting Cloud-Native Pipelines, lakehouse platforms and data governance

India

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What I'm looking for

I’m looking to architect and modernize high-performance AWS data platforms—lakehouse, governance, and cost optimization included—while leading migrations and platform standards that improve scalability, lineage, and regulated-sector reliability.

I’m a Staff Data Engineer with 10 years of experience architecting scalable, cloud-native data platforms, specializing in the AWS ecosystem, Apache Iceberg, and Snowflake. I focus on building source-of-truth data lakes and high-throughput backend services using Spark Streaming, dbt, and EMR, with a strong emphasis on data governance and infrastructure optimization.

In my recent work, I architected a centralized data abstraction layer to eliminate fragmented application-specific data silos, and spearheaded an enterprise lakehouse migration into a unified storage layer powered by Apache Iceberg. I’ve also delivered measurable platform outcomes—leading migrations that reduced pipeline runtime from 24+ hours to 4 hours, scaling metrics from 9 to 50+, and ingesting 10M+ daily events for identity stitching and re-attribution—while improving attribution accuracy by 8% and reducing infrastructure costs by 20%. I bring a track record of performance in regulated sectors like Finance and Healthcare, and I aim to keep data platforms reliable, governable, and cost-efficient.

Experience

Work history, roles, and key accomplishments

Current

Staff Data Engineer

Current

Warner Bros. Discovery

Jun 2026 - Present (1 month)

Architected a centralized data abstraction layer to decouple applications from source systems and reduce fragmented data silos. Spearheaded enterprise lakehouse ingestion into Apache Iceberg and implemented storage optimization for multi-tenant query performance.

Apache Iceberg Lakehouse Architecture Data Abstraction Time Travel Data Governance

Senior Data Engineer (Lead Architect)

Mindera India Pvt Ltd

Mar 2023 - Jun 2026 (3 years 3 months)

Led migration of a fragmented SQL experimentation system to a parallelized AWS EMR and Starburst ecosystem, reducing pipeline runtime. Implemented Apache Iceberg for ACID compliance and schema evolution, and modernized infrastructure and CI/CD for production deployments.

Starburst Apache Iceberg GitHub Actions Statsig And Schema Evolution

Senior Data Engineer

Intersoft DataLabs

Oct 2021 - Mar 2023 (1 year 5 months)

Designed a scalable lakehouse using AWS S3 and Redshift for high-performance serving. Built serverless ETL with Python, AWS Glue, and optimized PySpark jobs, and automated workflows with Airflow on Kubernetes to ensure data integrity and lineage.

Amazon S3 Amazon Redshift AWS Glue Pyspark Apache Airflow Kubernetes Data Lineage

Data Engineer

JPMorgan Chase & Co.

Aug 2021 - Oct 2021 (2 months)

Developed a proprietary framework using Java Spring Boot to orchestrate sensitive financial data workflows. Automated validation of financial records to support regulatory compliance and data privacy.

Java Spring Boot Regulatory Compliance Data Privacy

Data Engineer

SureIT Solutions

Oct 2019 - Aug 2021 (1 year 10 months)

Designed REST APIs and ingestion layers for a computer vision platform to support real-time UI/AI communication. Built services to handle batch image prediction requests across GPU servers for low-latency inference.

REST APIs Computer Vision GPU Inference Low Latency Systems

Big Data Developer

Accenture

Dec 2017 - Oct 2019 (1 year 10 months)

Migrated clinical trial data to AWS Redshift using serverless Python with AWS Lambda and AWS Glue pipelines. Refactored retail data pipelines using Apache Spark to reduce execution runtime.

AWS RedShift AWS Lambda AWS Glue Python Apache Spark Serverless