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Mo Umer

@moumer

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Senior Data Engineer specializing in real-time data platforms, RAG/LLM infrastructure, and cloud cost optimization.

United States

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What I'm looking for

I seek senior roles building reliable, real-time data platforms and production RAG/LLM systems at companies valuing measurable impact, cost-efficiency, and team mentorship.

I am a Senior Data Engineer and Analytics Engineer with 10+ years building production-grade data platforms across energy-tech, fleet-tech, and AI-native environments. I design real-time CDC streaming systems, lakehouse architectures, and dbt-driven ELT pipelines while driving measurable business impact.

My hands-on expertise spans AWS, GCP, and Azure, Databricks, Snowflake, BigQuery, Apache Kafka, Flink, Spark/PySpark, and production RAG/LLM stacks including vector databases and LangChain ecosystems. I have delivered multi-hundred-thousand-dollar cloud savings, dramatically reduced pipeline incidents, and achieved sub-200 ms latencies at scale.

I lead and mentor engineering teams, implement data contracts and observability, and operationalize ML and LLM workflows. I prioritize reliable, cost-efficient architectures that enable self-service analytics and accelerate AI product launches.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

iStream Solutions

Jan 2024 - Present (2 years 5 months)

Architected a real-time CDC streaming platform (Kafka + Flink) reducing end-to-end data latency from 6 hours to 180 ms across 12 ML apps serving 2M+ daily users and delivered $340K in annual compute savings via Databricks Medallion Architecture.

Apache Kafka Apache Flink Databricks Delta Lake Pinecone DBT Python

Senior Data Engineer

Motive

Sep 2018 - Dec 2023 (5 years 3 months)

Built core Kafka + Spark Structured Streaming pipelines processing 12 TB/day enabling sub-second anomaly detection and engineered Snowflake + dbt data warehouse that cut analyst query time from 6 minutes to 25 seconds for 120,000+ accounts.

Apache Kafka Spark Structured Streaming Snowflake DBT Feast Redis Airflow AWS Databricks

Data Engineer

Enverus

Jun 2014 - Aug 2018 (4 years 2 months)

Built Python/SQL ETL pipelines consolidating production data into Redshift, deployed NLP models achieving an 87 F1-score, and optimized analytics reducing report generation from 45 minutes to under 8 minutes for a platform supporting $300M+ ARR.

Python SQL AWS RedShift DBT Airflow NLP Tableau