Open to opportunities

Mohammed Shakheel Pasha

@mohammedshakheelpash

Message

Senior data engineer specializing in cloud-native, scalable data platforms and real-time pipelines.

United States

Message

What I'm looking for

I seek senior roles building cloud-native, reliable data platforms and streaming ETL/ELT pipelines where I can lead modernization, mentor teams, and deliver analytics/ML-ready datasets.

I am a Senior Data & Analytics Engineer with deep expertise building and modernizing cloud-native data platforms, data warehouses, and real-time streaming pipelines. I have owned production-grade BigQuery and Snowflake environments, led platform modernization efforts, and delivered multi-month data engineering initiatives from design through production with full ownership.

I design and optimize ETL/ELT architectures using tools such as dbt, Airflow, Spark, Kafka, and Databricks, and I mentor engineers while enforcing engineering standards, data governance, observability, and cost-performance optimizations to enable analytics, ML, and business decision-making.

Experience

Work history, roles, and key accomplishments

Current

Senior Data & Analytics Engineer

Current

HUB International

Aug 2023 - Present (2 years 5 months)

Designed and deployed scalable batch and real-time data pipelines and AI/ML systems, reducing pipeline failures and optimizing BigQuery and Databricks workloads for high-throughput healthcare analytics. Owned end-to-end data platform quality, governance, and cost optimizations across BigQuery, Snowflake, Databricks, and cloud native lakehouse architectures.

BigQuery Databricks Spark Kafka DBT Airflow Delta Lake Python Snowflake

Senior Data Engineer

Vanguard

Nov 2021 - Jul 2023 (1 year 8 months)

Executed large-scale migrations to cloud data lakes and built ELT/ETL pipelines and enterprise data lake architectures, improving analytics readiness and Snowflake/Databricks performance for financial and healthcare datasets. Implemented data validation, governance, and CI/CD for reliable analytics delivery.

Azure Data Factory Databricks Snowflake Kafka DBT Spark Python Azure

Senior Data Engineer

AT&T

Jan 2019 - Oct 2021 (2 years 9 months)

Architected and implemented scalable Azure and Databricks pipelines and Spark streaming solutions, modernizing ETL/ELT processes and enabling high-throughput Snowflake analytics for product and BI use cases. Improved data availability and reduced reporting latency through optimized transformations and orchestration.

Azure Data Factory Databricks Spark Snowflake Python SSIS Azure Blob Storage Kafka

Data Engineer

DXC Technology

Mar 2016 - Dec 2018 (2 years 9 months)

Built an enterprise data lake on AWS and developed ETL and streaming pipelines with Glue, Spark, and Kafka to support financial reporting and real-time ML workflows, improving data quality and analytics delivery. Implemented automated data quality and orchestration frameworks for reliable production pipelines.