Available to hire
Hi there! I’m Malik Latif, a results-driven data engineer who loves turning messy data into reliable, scalable platforms. I’ve spent 10+ years architecting enterprise-grade data solutions across healthcare, finance, and cloud-native environments, with multi-cloud expertise (AWS, Azure, GCP) and a focus on ETL/ELT, real-time analytics, and data governance.
I enjoy bridging engineering and analytics teams to design data mesh solutions, implement CI/CD for data pipelines, and deliver actionable insights that drive decisions while reducing latency and storage costs. I mentor teams and champion data-driven practices.
Work Experience
Senior Data Engineer at Timescale
September 1, 2023 - September 1, 2023Designed and implemented an enterprise-wide Lakehouse across AWS, Azure, and Databricks, consolidating 20+ legacy data systems into a unified, high-performance data platform. Established data mesh governance with Unity Catalog and Open Metadata, enabling enterprise-wide lineage, access control, and regulatory compliance (HIPAA, SOC 2). Led CI/CD adoption for data pipelines (Terraform, Terraform Cloud) and real-time analytics architecture leveraging Spark, Airflow, and Kafka streams.
Big Data Engineer at Blind Insight
May 1, 2021 - May 1, 2021Architected and managed multi-cloud data ecosystems across AWS, Azure, and GCP; delivered enterprise-grade data lakehouse solutions with batch and streaming workloads. Implemented ETL/ELT pipelines, integrated with BI tools (Tableau, Power BI, Looker), and improved data ingestion performance by approximately 45%. Collaborated on data APIs, RDBMS integrations, and scalable data storage strategies.
Data Engineer at VitalSight Health
December 1, 2018 - December 1, 2018Designed and maintained data marts, semantic layers, and data warehouse schemas (Star/Snowflake) to support enterprise analytics and reporting. Developed HIPAA-compliant ETL pipelines to integrate EHR, claims, and lab datasets, ensuring secure and compliant processing. Partnered with data science teams to enable analytics-ready datasets and predictive modeling readiness.
Education
Qualifications
Bachelor of Science in Computer Science
January 11, 2030 - November 3, 2025Google Cloud Professional Data Engineer
January 11, 2030 - November 3, 2025AWS Certified Data Analytics – Specialty
January 11, 2030 - November 3, 2025Azure Data Engineer Associate
January 11, 2030 - November 3, 2025Industry Experience
Healthcare, Financial Services, Software & Internet, Professional Services, Media & Entertainment
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