Open to opportunities

Sheikh Umer

@sheikhumer1

Message

Senior Data Engineer scaling real-time and batch data platforms for analytics and ML.

United States

Message

What I'm looking for

I’m looking for a role where I can design scalable real-time and batch data platforms, strengthen data reliability and observability, and support analytics/ML—while partnering with product and engineering teams to build secure, compliant architectures.

I’m a Senior Data Engineer with 10+ years of experience designing and scaling distributed data platforms across fintech, healthcare, and SaaS environments. I specialize in building real-time and batch data pipelines using Spark, Kafka, Airflow, and dbt on AWS and GCP, with a strong focus on healthcare (FHIR, HL7, claims) and financial systems (payments, fraud, AML).

Across my roles, I’ve improved data reliability, optimized performance, and enabled analytics and ML by defining data models, data contracts, and schema standards. I also build for HIPAA and PCI-compliant architectures, implementing monitoring/observability to keep pipelines stable, and mentoring engineers to drive best practices in data engineering teams.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Chime

Mar 2023 - Present (3 years 1 month)

Designed and scaled real-time and batch data pipelines for high-volume processing using Spark and Kafka on cloud platforms. Defined data models and schema standards, improved reliability and scalability, and implemented monitoring/observability to keep pipelines stable while mentoring junior engineers.

Apache Spark Apache Kafka Schema Design Data Modeling Monitoring And Observability Airflow DBT Cloud Data Platforms

Cloud Data Engineer

Innovaccer

Aug 2020 - Feb 2023 (2 years 6 months)

Built cloud-native data pipelines across AWS, GCP, and Azure using Airflow and PySpark, integrating APIs, databases, and streaming systems. Managed data lakes/warehouses, optimized performance and cloud costs, and implemented security and compliance controls for encryption and access management.

AWS Google Cloud Platform Microsoft Azure Airflow Pyspark Data Lake Data Warehousing Data Security Cost Optimization

Data Platform Engineer

Publicis Sapient

Apr 2018 - Jul 2020 (2 years 3 months)

Designed and maintained scalable data platform architecture for analytics and reporting, creating reusable pipeline and transformation frameworks. Improved batch and streaming ingestion/processing performance through query optimization and enforced data quality for reliable, analytics-ready datasets.

Data Architecture Data Modeling Data Pipelines Query Optimization CI CD Data Quality Automation Analytics Enablement

Data Engineer

Cognizant

May 2015 - Mar 2018 (2 years 10 months)

Developed and maintained ETL pipelines for structured and unstructured data, building integration workflows using SQL and Python-based tooling. Performed data validation and cleansing and supported performance tuning to optimize pipeline reliability and delivery of well-documented data solutions.