Hasi Iqbal
@hasiiqbal1
Senior Data Engineer building governed lakehouse and event-driven platforms across healthcare, fintech, and SaaS.
What I'm looking for
I’m a Senior Data Engineer with 8+ years architecting distributed systems in Healthcare, Fintech, and SaaS. I focus on governed lakehouse architectures, multi-tenant isolation, and HIPAA-compliant clinical data modeling—turning complex data requirements into reliable pipelines.
I specialize in transitioning legacy batch workflows to event-driven streaming, enforcing DataContracts, and delivering measurable FinOps cost optimization. From windowing and stateful processing to idempotent SQL transformations, I design for correctness under real-world data volatility.
In my recent work, I’ve built multi-cloud Lakehouse platforms using BigQuery and Databricks (Delta Lake), using UnityCatalog for cross-platform governance and SQL row-level security for strict multi-tenant isolation. I’ve also operationalized data quality and observability with Great Expectations and MonteCarlo, integrated directly into Airflow DAG lifecycles to programmatically enforce contracts.
I’m equally comfortable in the “platform” layer—Infrastructure as Code with Terraform/Pulumi, IAM policy design, KMS encryption, and secure resource lifecycle management through CI/CD. Whether it’s PHI ingestion with KMS key rotation on AWS S3 or real-time reconciliation using Debezium and exactly-once semantics, I bring a technical, security-first mindset to every delivery.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
NimerTech
Nov 2022 - Present (3 years 6 months)
Architected a multi-cloud lakehouse on BigQuery and Databricks using UnityCatalog for cross-platform governance and SQL row-level security to enforce multi-tenant isolation. Built event-driven pipelines, Airflow orchestration, and a data quality/observability layer using Great Expectations and Monte Carlo, enforced via programmatic data contracts and IaC.
Data Engineer
Headway
Sep 2019 - Oct 2022 (3 years 1 month)
Designed and deployed a secure AWS S3-based lakehouse for PHI with column-level encryption, KMS key rotation, and IAM least-privilege access. Built Python ingestion for HL7/FHIR into Snowflake, added automated validation with Great Expectations, and supported migration and batch processing using Redshift, EMR, and tuned Spark configurations.
Founding Data Engineer
Venteur
Sep 2017 - Aug 2019 (1 year 11 months)
Built the company’s first end-to-end data platform using Python and AWS Glue, transitioning reporting from manual to an automated centralized warehouse. Implemented streaming data pipelines with Kafka/Spark Streaming and CDC with Debezium on Kubernetes, plus dbt-based transformations and BigQuery performance optimization.
Education
Degrees, certifications, and relevant coursework
Hasi hasn't added their education
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