Hadii Altaf
@hadiialtaf
Experienced data engineer specializing in cloud-native data platforms, Lakehouse, and pipeline modernization.
What I'm looking for
I am an experienced Data Engineer focused on building cloud-native data ecosystems, distributed pipelines, and governed data products across SaaS, healthcare, and financial services. I design large-scale ETL/ELT frameworks, optimize Spark processing, and implement Lakehouse architectures to enable analytics and ML workloads.
At Mux I architected multi-tenant ingestion frameworks, built scalable dbt and Spark transformation pipelines, and established a Databricks Delta Lake environment to improve governance and cost efficiency. I delivered real-time streaming via Kafka and automated CI/CD and monitoring to reduce operational friction and accelerate releases.
Previously, I built HIPAA-compliant ingestion and transformation frameworks, standardized HL7/FHIR/CCD clinical feeds, and led migrations to Snowflake to boost performance and interoperability. In financial services I improved SQL ETL performance, developed reconciliation automation, and implemented lineage for regulatory audits.
I collaborate closely with product, analytics, and engineering teams to translate business needs into reliable, secure data solutions, enforce data quality and lineage, and enable self-service analytics and operational ML. I am committed to improving performance, reducing operational friction, and delivering high-impact data capabilities.
Experience
Work history, roles, and key accomplishments
Lead Data Engineer
Mux
Jan 2023 - Present (2 years 11 months)
Architected cloud-native data models and ingestion frameworks for multi-tenant SaaS analytics, implemented a Databricks Lakehouse with Delta Lake, and delivered real-time streaming via Kafka to improve throughput and reliability.
Data Platform Engineer
Databox
Jul 2019 - Dec 2022 (3 years 5 months)
Built HIPAA-compliant ingestion and Spark-based transformation frameworks for EHR and clinical data, led migration to Snowflake, and implemented PHI tokenization and automated data quality scoring to improve clinical dataset reliability.
Supported enterprise data warehouse development for transactional and KYC datasets, optimized SQL ETL processes and implemented reconciliation and lineage documentation to reduce processing errors and support audits.
Education
Degrees, certifications, and relevant coursework
University of the Punjab
Bachelor of Science, Science
Completed a Bachelor of Science degree focused on foundational science coursework and analytical skills.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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