Open to opportunities

Jitesh Mogre

@jiteshmogre

Message

I build AI-ready data platforms with low-latency real-time analytics.

India

Message

What I'm looking for

I want to build AI-ready, low-latency data platforms—modernizing pipelines with strong governance, automation, and scalable foundations for real-time analytics and measurable business impact.

I’m a Staff Data Platform Engineer with 13+ years across software development and data engineering, combining platform architecture with hands-on pipeline delivery. I architect data platforms that process billions of events and TB-scale datasets daily, with a focus on performance, governance, and cost optimization.

In my current role, I implemented Snowflake infrastructure automation using Terraform (warehouses, RBAC roles, grants, and integrations) and led multi-cloud adoption across AWS + GCP. I migrated 100+ legacy workflows to Astronomer-managed Airflow and standardized CI/CD with GitHub Actions, improving reliability and deployment automation.

I also built and modernized real-time and batch systems—designing Kafka → Snowflake streaming with Snowpipe and Avro to cut latency and AWS costs, leading Spark 3 modernization with Structured Streaming, and driving migrations across DynamoDB, ScyllaDB, and Aerospike for performance. I’m passionate about building AI-ready data foundations, intelligent automation systems, and scalable platforms that help teams and products move faster.

Experience

Work history, roles, and key accomplishments

Current

Staff Data Platform Engineer

Current

GumGum

Jan 2020 - Present (6 years 6 months)

Implemented Snowflake infrastructure automation with Terraform, standardized CI/CD, and supported platform monitoring for reliability. Architected real-time Kafka-to-Snowflake pipelines, modernized Spark workloads to Spark 3/Structured Streaming, and led multi-cloud platform modernization across AWS and GCP.

Lead Data Engineer

Admaxim

Mar 2013 - Dec 2019 (6 years 9 months)

Led the data engineering team and analytics infrastructure for a full-stack programmatic advertising platform, building Druid-based data warehouses and AWS-based machine learning infrastructure. Developed revenue-impacting features and systems including predictive bidding, user profiling, and site classification using Lucene-based IAB tiers.