Open to opportunities

Sanket Timilshina

@sankettimilshina

Message

I’m a senior data engineer specializing in scalable cloud ETL/ELT, real-time streaming, and modern analytics platforms.

United States

Message

What I'm looking for

I’m looking for a data engineering role where I can build scalable multi-cloud ETL/ELT and real-time streaming pipelines, automate platform delivery, enforce strong governance, and support analytics and AI-ready datasets.

I’m an experienced data engineer with 7+ years designing and optimizing cloud-based data architectures, scalable ETL pipelines, and real-time/batch big data solutions. I build high-performance pipelines with Apache Spark, Databricks, and Airflow, and I strengthen data platforms with advanced SQL analytics, data lakes/warehouses, and data mesh principles.

In my recent roles, I’ve delivered measurable outcomes by engineering sub-second streaming ingestion with Apache Flink, Kafka, AWS Kinesis, and GCP Pub/Sub, and by applying Medallion Architecture to improve lineage and reusability. I automate infrastructure with Terraform and CI/CD, migrate workloads across AWS/Azure/GCP, enforce HIPAA/GDPR security controls, and partner with ML/AI teams using MLflow and feature-ready datasets—while mentoring engineers to raise delivery quality.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Abbott

Sep 2023 - Present (2 years 8 months)

Designed scalable PySpark/Databricks ETL pipelines processing 5TB+ of healthcare data daily and improved lineage and transformation consistency using the Medallion architecture. Built sub-second real-time ingestion with Flink/Kafka/Kinesis/Pub-Sub and reduced provisioning work by 70% while cutting pipeline failure rates by 40%.

Pyspark Databricks Apache Flink Kafka AWS Kinesis Terraform Apache Airflow Docker Kubernetes

Data Engineer

Prudential Financial, Inc

Jul 2021 - Aug 2023 (2 years 1 month)

Developed Azure Data Factory/Matillion/Airflow ETL into Azure Data Lake and GCP BigQuery, transforming customer and policyholder data across 10+ domains. Migrated workloads to Snowflake/BigQuery and reduced infrastructure costs by 40%, while standardizing transformations with dbt and delivering dashboards with Power BI/Looker with row-level security.

Azure Data Factory Matillion Apache Airflow Snowflake Google BigQuery DBT Apache Kafka Azure Event Hubs Power BI

Data Engineer

Texas Mutual Insurance

Feb 2018 - Jun 2021 (3 years 4 months)

Built scalable AWS Glue (PySpark), Redshift, and Snowflake ETL, improving claims/underwriting processing efficiency by 30% and reducing reporting latency by 25%. Implemented data quality and compliance with Great Expectations/Glue DataBrew and HIPAA/GDPR controls, and reduced infrastructure setup times by 40% through Terraform and CloudFormation automation.

AWS Glue Pyspark Amazon Redshift Snowflake Talend Great Expectations Terraform Tableau