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MALIK User

@malikuser6

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Lead Data Engineer delivering scalable cloud-native lakehouse platforms and real-time analytics.

United States

Message

What I'm looking for

I seek a senior engineering role building scalable cloud-native data platforms with strong governance, mentorship opportunities, and measurable business impact.

I am a results-driven Lead Data Engineer with 10+ years designing and delivering enterprise-grade data platforms across healthcare, finance, and cloud-native environments. I modernize legacy systems into cloud-based lakehouse architectures (AWS, Azure, GCP, Snowflake), build ETL/ELT and streaming pipelines, and implement governance and security to meet HIPAA, GDPR and SOC 2 requirements.

I've led teams to build high-throughput event-driven systems (Kafka, Spark, Flink) and observability/FinOps frameworks that cut costs and improve analytics adoption. I mentor engineers, drive architecture reviews, and deliver analytics-ready data models, BI solutions, and production-ready ML feature pipelines that enable faster insights and measurable business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

Tempus

Oct 2023 - Present (2 years)

Developed enterprise-wide lakehouse and event-driven data frameworks handling 2M+ messages/sec, improving real-time data availability by 70% and reducing infrastructure costs by 20% through observability and FinOps initiatives.

Kafka Spark Kinesis AWS RedShift S3 Glue Unity Catalog Collibra Prometheus Grafana

Senior Data Engineer

Timescale

Jun 2021 - Sep 2023 (2 years 3 months)

Led cloud migrations and data quality programs, cutting costs by 35%, reducing schema drift incidents by 35%, and lowering trading system latency by 65% via real-time pipelines and CI/CD automation.

DBT Great Expectations Flink Kafka Kinesis CI CD Delta Lake Apache Iceberg HIPAA)GDPR)

BigData Engineer

Blind Insight

Jan 2019 - May 2021 (2 years 4 months)

Built ETL/ELT pipelines and migrated 80+ workflows to AWS Glue, improving ingestion speed by 45% and reducing infrastructure costs by 40% while enabling 50+ BI dashboards.

Airflow Python SQL Redshift)Snowflake AWS Glue DBT Tableau)Power BI ETL

Data Engineer

Vitalsight Health

Aug 2015 - Dec 2018 (3 years 4 months)

Built HIPAA-compliant data warehouses and ETL workflows, migrated on-prem assets to S3/Redshift, accelerating model deployment by 50% and improving model accuracy by 12%.