Open to opportunities

Mo Haseeb

@mohaseeb

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Senior Data Engineer driving cloud-native ETL, real-time streaming, and data platform modernization.

United States

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What I'm looking for

I seek a hands-on senior engineering role building cloud-native data platforms, focusing on real-time ETL, data governance, and mentoring teams in a collaborative, product-focused environment.

I am a Senior Data Engineer with 7+ years building scalable ETL pipelines and cloud-native data platforms across FinTech, E‑Commerce, and Healthcare. I specialize in real-time streaming, lakehouse migrations, and delivering reliable datasets to support analytics and ML use cases.

At Zippy I architected a Kafka + Spark Structured Streaming fraud detection framework, led a petabyte-scale migration to an AWS Iceberg lakehouse, and implemented data mesh practices and IaC with Terraform, while mentoring a team of five engineers.

I have a strong engineering ethos centered on data governance, observability, and reproducible infrastructure, and I drive cross-functional collaboration to turn complex data into actionable business insights that scale.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Zippy

Jul 2022 - Present (3 years 8 months)

Architected a real-time fraud detection framework and led migration of petabyte-scale financial data to an AWS Lakehouse, reducing storage costs and improving query performance while enabling domain teams to own data products.

Apache Kafka Spark Structured Streaming Apache Iceberg Snowflake DBT Terraform Data Governance Python

Cloud Data Engineer

Fluent, Inc

Jan 2020 - Jun 2022 (2 years 5 months)

Engineered an Amazon Redshift data warehouse and Customer 360 pipelines, refactored legacy Hadoop jobs to Spark SQL, and implemented Airflow and Terraform to standardize orchestration and infrastructure provisioning.

Amazon Redshift AWS Glue Apache Airflow Terraform Kafka Redis Data Modeling

ETL Developer

Claritas Rx

Sep 2018 - Dec 2019 (1 year 3 months)

Developed HIPAA-compliant ETL pipelines ingesting HL7/FHIR data into a Microsoft SQL Server EDW, implemented SCD Type 2 for patient history, and optimized T-SQL processes to shorten nightly batch windows.

T SQL Microsoft SQL Server HL7 FHIR ETL Data Lineage Performance Tuning