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Fahad Khan

@fahadkhan16

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Senior Data Engineer specializing in AWS, Databricks, and scalable data platforms.

United States

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What I'm looking for

I seek roles building and owning cloud-native data platforms (AWS/Databricks) with emphasis on scalable ELT, streaming ingestion, DataOps automation, and collaboration with analytics/ML teams.

I am a Senior Data Engineer with 6+ years building and supporting cloud-native data platforms on AWS and Databricks, delivering scalable batch and streaming pipelines for analytics and ML. I have strong hands-on experience with Apache Spark, Snowflake, BigQuery, Airflow, and implementing Medallion ELT architectures to ensure reliable, production-grade datasets.

I own and operate production data systems, improve performance and cost-efficiency across Delta Lake, Snowflake, and Athena, and enable near-real-time ingestion using Amazon Kinesis and Spark Structured Streaming. I collaborate effectively with distributed US-based teams, automate DataOps with CI/CD and IaC, and have a proven track record of reducing processing time and improving forecast accuracy through robust pipeline design.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

TeamSnap

Feb 2023 - Present (3 years)

Own and maintain production-grade AWS and Databricks data pipelines, delivering ELT workflows and Medallion-modeled datasets to support analytics and near-real-time ingestion; improved processing performance and cost efficiency across Delta Lake, Snowflake, and Athena.

Apache Spark Databricks Python SQL Delta Lake Snowflake Airflow Amazon Kinesis CI CD Terraform

Data Engineer

Coursedog

Jul 2021 - Jan 2023 (1 year 6 months)

Supported enterprise AWS analytics platforms using PySpark, Airflow, Snowflake and BigQuery to structure ELT processes and implement stream-enabled ingestion, tuning Spark and SQL to reduce latency and improve efficiency.

Pyspark Airflow Snowflake BigQuery ETL EMR Amazon Kinesis SQL Data Modeling Performance Tuning

Data Engineer

ResultStack

Nov 2019 - Jun 2021 (1 year 7 months)

Implemented CDC pipelines from RDS to S3 and Snowflake and executed Spark batch and streaming workloads, improving distributed processing via partitioning, caching, and join optimization while enforcing data validation and schema management.