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Hi, I’m Zai Muhammad, a Lead Data Engineer based in Cleveland, Ohio. I design and implement scalable, cloud-native data platforms that help healthcare, financial services, fintech, insurance, and banking organizations turn data into actionable insights. With a decade of experience delivering enterprise data pipelines, ML-ready data sets, and governance across regulated environments, I partner with data scientists and product teams to deliver reliable, observable, and compliant data solutions. I thrive in fast-paced settings, mentor junior engineers, and advocate for best practices in CI/CD, distributed systems, and cloud-native architecture.…Hi, I’m Zai Muhammad, a Lead Data Engineer based in Cleveland, Ohio. I design and implement scalable, cloud-native data platforms that help healthcare, financial services, fintech, insurance, and banking organizations turn data into actionable insights. With a decade of experience delivering enterprise data pipelines, ML-ready data sets, and governance across regulated environments, I partner with data scientists and product teams to deliver reliable, observable, and compliant data solutions. I thrive in fast-paced settings, mentor junior engineers, and advocate for best practices in CI/CD, distributed systems, and cloud-native architecture.

Zai Muhammad

Data Scientist, Full Stack Developer, AI Engineer, +7

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Hi, I’m Zai Muhammad, a Lead Data Engineer based in Cleveland, Ohio. I design and implement scalable, cloud-native data platforms that help healthcare, financial services, fintech, insurance, and banking organizations turn data into actionable insights. With a decade of experience delivering enterprise data pipelines, ML-ready data sets, and governance across regulated environments, I partner with data scientists and product teams to deliver reliable, observable, and compliant data solutions. I thrive in fast-paced settings, mentor junior engineers, and advocate for best practices in CI/CD, distributed systems, and cloud-native architecture.…Hi, I’m Zai Muhammad, a Lead Data Engineer based in Cleveland, Ohio. I design and implement scalable, cloud-native data platforms that help healthcare, financial services, fintech, insurance, and banking organizations turn data into actionable insights. With a decade of experience delivering enterprise data pipelines, ML-ready data sets, and governance across regulated environments, I partner with data scientists and product teams to deliver reliable, observable, and compliant data solutions. I thrive in fast-paced settings, mentor junior engineers, and advocate for best practices in CI/CD, distributed systems, and cloud-native architecture.

Available to hire

Hi, I’m Zai Muhammad, a Lead Data Engineer based in Cleveland, Ohio. I design and implement scalable, cloud-native data platforms that help healthcare, financial services, fintech, insurance, and banking organizations turn data into actionable insights.

With a decade of experience delivering enterprise data pipelines, ML-ready data sets, and governance across regulated environments, I partner with data scientists and product teams to deliver reliable, observable, and compliant data solutions. I thrive in fast-paced settings, mentor junior engineers, and advocate for best practices in CI/CD, distributed systems, and cloud-native architecture.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Lead Data Engineer at Databricks

November 20, 2020 - November 10, 2025

Architected and led the delivery of cloud-native data platforms and ML-ready data ecosystems. Implemented end-to-end data pipelines leveraging Spark, Delta Lake, Databricks, Snowflake, and orchestration with Airflow and dbt. Built scalable data models, governance, and observability using Prometheus, Grafana, and Drift-proof CI/CD workflows with Terraform and Git. Collaborated with data scientists to enable rapid ML deployments and maintained HIPAA/GDPR-aligned practices for mission-critical datasets.

Senior Data Engineer at FiveTran Data Solutions

September 20, 2020 - September 20, 2020

Designed and delivered low-latency streaming pipelines using Kafka, Flink, PySpark, and Airflow. Integrated Azure Synapse, Snowflake, and BigQuery with distributed storage to support large-scale analytics. Built self-service data APIs and data services, automated CI/CD workflows with Terraform and Git, and mentored engineers across cross-functional teams. Led data governance efforts and established best practices for enterprise data platforms.

Data Engineer at Accenture

February 20, 2017 - February 20, 2017

Contributed to healthcare data pipelines on Google Cloud Dataflow and Apache Beam, enabling real-time clinical trial data integration and compliant reporting. Developed SQL-based ETL processes on relational and analytical stores, and supported HIPAA-compliant data pipelines for enterprise healthcare clients.