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Asha Khan

@ashakhan

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Lead Data Engineer modernizing cloud lakehouses into trusted, governed data products for analytics and AI.

United States

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What I'm looking for

I’m looking to lead cloud-native data engineering and lakehouse/Data Mesh modernization with strong governance. I want to build reliable batch/streaming pipelines, partner with security and product, and mentor teams to deliver trusted analytics and AI-ready data.

Lead Data Engineer with 10+ years of experience building scalable cloud-native data platforms, real-time streaming pipelines, and modern lakehouse architectures across AWS, Azure, GCP, Snowflake, and Databricks. Expertise in PySpark, Kafka, Airflow, dbt, and distributed data systems, delivering high-performance ETL/ ELT solutions for healthcare, finance, and e-commerce domains. Proven track record optimizing large-scale production workloads, improving data reliability, and leading enterprise data modernization initiatives.

Experience

Work history, roles, and key accomplishments

Senior Data Architect

ProCogia

Aug 2019 - Dec 2022 (3 years 4 months)

Led enterprise multi-cloud data architecture for analytics ecosystems across AWS, Azure, Snowflake, and GCP, defining ingestion, processing, storage, governance, security, and consumption layers. Built reference architectures for lakehouse, Data Mesh/Medallion, and event-driven real-time streaming using Kafka/Flink/Spark Streaming, including metadata, lineage, and FinOps-driven cost optimization.

Data Architecture Lakehouse Architecture Apache Kafka Apache Flink Data Governance Data Lineage FinOps Security Compliance

Data Engineer

Enigma Technologies

Jun 2016 - Jul 2019 (3 years 1 month)

Developed scalable distributed data pipelines using Python, SQL, Spark, Airflow, and Hadoop ecosystem technologies, building enterprise data lakes and analytical warehouses. Implemented batch and streaming ingestion from databases, APIs, SaaS systems, and log sources, and delivered trusted models with validation, reconciliation, monitoring, and BI support.

ETL ELT Python SQL Apache Spark Apache Airflow Hadoop Ecosystem Data Modeling DBT

Data Engineer

Datafold

Jan 2014 - May 2016 (2 years 4 months)

Built foundational ETL pipelines and enterprise data warehouse solutions using SQL, Python, and scripting frameworks, ingesting data from ERP/CRM platforms, flat files, and third-party sources. Created reporting datasets and analytical views while supporting dimensional modeling, metadata/documentation, scheduling, data quality checks, reconciliation, and production issue resolution.