Open to opportunities

Satkar Karki

@satkarkarki

Message

Senior data engineer specializing in cloud-native Lakehouse architectures and data reliability.

United States

Message

What I'm looking for

I seek senior cloud-data engineering roles building scalable, governed Lakehouse platforms, emphasizing data quality, cost optimization, and cross-functional collaboration.

I am a senior data engineering professional with 7+ years designing and delivering scalable, cloud-native data solutions across healthcare, financial services, and enterprise environments.

I have led end-to-end initiatives including Lakehouse architectures with Databricks/Delta Lake, Snowflake integrations, and cloud migrations from Azure to Google Cloud (BigQuery, Pub/Sub, Cloud Storage), improving scalability and reducing costs.

My focus is on data quality, governance, and performance: I implement validation and anomaly detection, enforce HIPAA/SOC2/GDPR controls, and optimize ETL/ELT pipelines to reduce runtime, cloud spend, and improve reporting latency.

I collaborate with data scientists, analysts, and business stakeholders, mentor junior engineers, and take ownership during critical incidents to maintain high platform reliability and deliver analytics-ready datasets for BI tools like Tableau, Power BI, and Looker.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Elevance Health

Aug 2023 - Present (2 years 6 months)

Architected an enterprise Lakehouse on Azure Databricks processing 5TB+ weekly, led migration of analytics workloads to GCP reducing platform dependency and improving scalability by 40%, and implemented optimizations saving ~$250K annually in Databricks costs.

Databricks Delta Lake BigQuery Pub Sub Pyspark Delta Live Tables Terraform Azure Data Factory Data Governance

Data Engineer

Discover Financial Services

Sep 2021 - Jul 2023 (1 year 10 months)

Designed cloud-native ingestion and ELT pipelines with Azure Data Factory and Databricks to process high-volume transaction datasets, improving query performance ~35% and reducing streaming latency for risk dashboards by ~50%.

Azure Data Factory Databricks Snowflake Pyspark ELT CI CD azure monitor

Data Developer

Pfizer

Jun 2019 - Sep 2021 (2 years 3 months)

Built batch ingestion and Delta Lake-based transformation pipelines for clinical trial and sales datasets, implemented validation checks and partitioning strategies that improved downstream query performance and reduced reconciliation effort.

Azure Data Factory Pyspark Delta Lake Parquet SQL Data Validation Power BI

Python / SQL Developer

Technova Global

Jun 2018 - Aug 2019 (1 year 2 months)

Developed scalable Python and SQL backend data processing solutions, engineered ETL utilities and Hadoop ingestion workflows, and optimized database queries to reduce reporting latency and improve distributed processing performance.