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Atif Akbar UserAU
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Atif Akbar User

@atifakbaruser

Lead Data Engineer with 11+ years building secure lakehouse and streaming data platforms that drive trusted analytics.

United States
Message

What I'm looking for

I’m looking to lead end-to-end data engineering for cloud lakehouse and streaming platforms—focused on governance, data quality, and reliable CI/CD—while mentoring teams and partnering with stakeholders to enable trusted, analytics-ready decision making.

I’m a Lead Data Engineer with 11+ years of experience designing, building, and modernizing enterprise data platforms across healthcare, FinTech, and SaaS. I lead end to end data engineering initiatives—cloud migrations, lakehouse/warehouse solutions, real time processing, and governance frameworks—to deliver scalable, reliable, analytics-ready datasets.

In my most recent role, I led cloud-native healthcare platforms using Azure, Databricks, Snowflake, and Delta Lake, improving enterprise reporting performance by 60% and reducing manual data processing by 65%. I built real-time and batch ingestion pipelines with Kafka, Spark Structured Streaming, REST APIs, and CDC, and I developed dimensional models and Data Vault architecture to improve data consistency and accelerate self-service reporting.

I’m also focused on engineering excellence and compliance-ready data. I implement automated quality validation and metadata management with Microsoft Purview, Unity Catalog, and Great Expectations (including HIPAA compliance), while driving CI/CD and infrastructure automation with Git, Azure DevOps, Docker, Kubernetes, and Terraform—improving deployment reliability by 45%. I mentor teams, run architecture reviews and code reviews, and partner with cross-functional stakeholders to raise platform quality and team productivity.

Experience

Work history, roles, and key accomplishments

TE
Current

Lead Data Engineer

Techverx

Sep 2022 - Present (3 years 10 months)

Led design of cloud-native healthcare data platforms on Azure, Databricks, Snowflake, and Delta Lake, improving enterprise reporting performance by 60%. Built ETL/ELT and real-time/batch ingestion pipelines using Python, PySpark, Airflow, dbt, Kafka, Spark Structured Streaming, and CDC, and implemented governance with Microsoft Purview/Unity Catalog and automated quality validation.

GE

Data Platform Engineer

Geomotiv

Feb 2018 - Aug 2022 (4 years 6 months)

Engineered a cloud-native data platform using Databricks, Snowflake, and AWS, improving reporting performance by 55% across enterprise financial systems. Developed ETL/ELT and real-time streaming pipelines with Python, PySpark, Airflow, dbt, Kafka, Spark Structured Streaming, and Debezium, and implemented governance with Microsoft Purview/Unity Catalog and Great Expectations.

ML

Data Engineer

Modo Labs

Feb 2014 - Jan 2018 (3 years 11 months)

Developed scalable ETL/ELT pipelines for a SaaS environment using Python, SQL, PySpark, Apache Airflow, and dbt, integrating application telemetry, customer events, and API data for business reporting. Built batch and real-time ingestion pipelines with Kafka, Spark Structured Streaming, REST APIs, and CDC, and improved reliability using automated validation, CI/CD, monitoring, and metadata managem

Education

Degrees, certifications, and relevant coursework

Atif Akbar hasn't added their education

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