Moe Ali

Senior Data Engineer who has driven platform migrations and pipeline modernizations that cut ETL costs ~30-38% and improved query performance up to 65%. I bring 12 years building production data platforms across consulting, healthcare, banking and SaaS, owning end-to-end delivery, mentorship and client-facing roadmaps. I specialize in SQL, Python, Spark, Airflow and cloud-native architectures to reduce latency, lower costs and raise data reliability for analytics and product teams.

Senior Data Engineer at Deloitte (2025-01 – Present)

• Led cross-functional delivery and authored SOWs for three enterprise client engagements to migrate ETL to Snowflake and Airflow, reducing client ETL costs by 38% while improving reliability.
• Architected CI/CD and infrastructure-as-code using Terraform, GitHub Actions and dbt across multiple engagements, increasing deployment frequency 2.5x and reducing rollback incidents 60%.
• Mentored and grew a team of 6 data engineers across client projects, establishing code review and on-call rotations that cut MTTR for production incidents 45%.
• Designed cost-optimized AWS landing zones and S3 data lake patterns for clients, lowering storage and compute spend by 30% through tiering and right-sizing.
• Delivered data observability and monitoring with Prometheus, Grafana and SQL-based checks embedded in Airflow DAGs to detect regressions and drive pipeline SLAs to 99.9%.
• Led a data model redesign and Looker migration for a multi-client analytics platform using Snowflake, improving analyst query performance 65% and enabling self-serve BI.
• Owned client-facing roadmap and prioritized features based on stakeholder OKRs, translating business requirements into production ETL in Python and Spark for deliverable commitments.

Senior Data Engineer at CVS Health (2022-10 – 2025-01)

• Spearheaded HIPAA-compliant ingestion pipelines for EHR and claims data using Python, Spark and AWS Glue, reducing time-to-availability for analytics from 24 hours to under 4 hours.
• Implemented dbt transformations and Snowflake optimizations to standardize clinical schemas for population health and RWE teams, increasing analytic query throughput 4x.
• Built automated data quality, lineage and validation (Great Expectations, Airflow) for clinical registries, cutting production data incidents 55% and improving trust for Medical Affairs teams.
• Partnered with clinicians and regulatory stakeholders to operationalize compliance and audit controls in ETL, ensuring traceability and support for regulatory reporting.
• Led cloud cost optimization for analytics workloads on AWS, achieving 28% annual compute cost savings by rightsizing clusters and introducing spot instances.

Senior Data Engineer at UiPath (2017-04 – 2022-08)

• Designed Kafka- and Spark-based pipelines to ingest and process RPA telemetry and automation logs, supporting 10M+ automation events weekly and enabling product analytics and SLA reporting.
• Built CI/CD and infrastructure automation with Kubernetes, Docker, Jenkins and Terraform, reducing model and pipeline lead time by 40%.
• Developed reusable Python ETL libraries and Airflow DAG templates used across product teams to standardize ingestion of SaaS telemetry and accelerate onboarding by 3x.
• Delivered customer-facing analytics dashboards in Looker and Tableau for sales and product teams, surfacing usage signals that increased upsell opportunities.
• Automated repetitive engineering tasks using internal RPA and piloted AI-assisted coding (GitHub Copilot, ChatGPT) to reduce PR turnaround by 20%.

Data Engineer at U.S. Bank (2014-06 – 2017-03)

• Implemented ETL workflows with Informatica and Oracle to consolidate transaction and ledger data into a central warehouse, improving end-of-day reconciliation accuracy to 99.8%.
• Built SQL-driven fraud detection features and scheduled jobs to move detection closer to real-time, reducing fraud response time 45%.
• Optimized Hadoop batch processing to handle 50M+ records daily, cutting the nightly processing window by 35% and meeting tighter regulatory reporting deadlines.
• Collaborated with risk and compliance teams to implement data lineage and audit trails to support KYC/AML controls and internal audit requirements.

Bachelor's degree in Computer Science – Radford University (2010-09 – 2014-04)