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Kunlek Tamang

@kunlektamang

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Data engineer building scalable cloud-native data platforms.

United States

Message

What I'm looking for

I seek a role where I can design and operate cloud-native data platforms, lead cross-functional teams, drive governance and compliance, and build scalable pipelines that enable analytics and ML while growing technical leadership skills.

I am a data engineer with 6+ years designing, building, and optimizing scalable data ecosystems across AWS, Azure, and GCP to power analytics, BI, and ML initiatives.

I've led enterprise modernization efforts, including architecting Lakehouse platforms, building real-time pipelines processing 400K+ events daily, and creating 200+ dbt models to accelerate research and analytics.

I prioritize data governance, compliance (HIPAA, GDPR, 21 CFR Part 11), and operational excellence while mentoring teams, establishing CI/CD, and delivering reliable production-grade systems that enable cross-functional impact.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Pfizer

Oct 2023 - Present (2 years)

Led enterprise data modernization by designing a Lakehouse on AWS S3, Delta Lake, and Snowflake, enabling same-day access to clinical, genomic, and supply chain datasets and improving research data exploration by 60%. Implemented real-time pipelines processing 400K+ events/day and governance controls for HIPAA/GDPR/21 CFR Part 11 compliance.

AWS S3 Delta Lake Snowflake Apache Flink Apache Airflow DBT Sagemaker MLFlow Data Governance

Analytics Engineer

Cardinal Health

Aug 2021 - Aug 2023 (2 years)

Built a unified AWS/Azure data ecosystem integrating pharmacy claims, hospital utilization, and distribution data to support ML-driven inventory optimization and risk modeling, reducing latency by 50% and storage costs by 30%. Automated infrastructure provisioning and standardized transformation with dbt.

AWS Azure Databricks Pyspark Kafka Airflow Terraform Snowflake DBT

ETL Developer

Wells Fargo

Sep 2019 - Jun 2021 (1 year 9 months)

Contributed to ETL modernization by migrating legacy financial data into Snowflake using Azure Data Factory and Databricks, reducing data load times by 40% and improving pipeline maintainability. Implemented data quality checks and optimized ETL performance for regulatory reporting.

Azure Data Factory Databricks Pyspark Snowflake SSIS SQL Server Pl SQL

Education

Degrees, certifications, and relevant coursework

New Jersey Institute of Technology

Master of Science, Data Science

Master of Science in Data Science (Computational Track) focused on advanced data science methods and computational techniques for large-scale data processing and analytics.