Emile Jacobs

• Architected and scaled a global, cloud-native Snowflake data platform ingesting terabytes of data monthly from 50+ external data vendors, establishing a modern enterprise data foundation supporting worldwide client delivery. • Lead and grew a distributed data engineering organization (~20 professionals across U.S. and India), overseeing platform architecture, ingestion frameworks, infrastructure operations, and client-facing data product delivery. • Designed metadata-driven ingestion and transformation frameworks orchestrated via Apache Airflow, eliminating manual data wrangling and accelerating insight generation. • Directed AWS-based cloud infrastructure strategy using Terraform (Infrastructure-as-Code), implementing scalable provisioning, governance standards, and operational resilience practices. • Established platform-level service reliability standards and spearheaded development of a data quality dashboard to proactively monitor availability, accuracy, and anomalies. • Led incident response and vendor coordination for data issues to ensure uninterrupted business continuity and client delivery. • Implemented CI/CD enablement via GitHub workflows and formalized SQL and pipeline code review standards to strengthen engineering rigor. • Instituted cost governance and optimization controls across Snowflake and AWS environments. • Partnered with ML teams to productionize enterprise data assets and led AI-enabled natural language data interaction initiatives. • Advised on enterprise data platform consolidation strategy and architectural standardization.

• Joined Pyxis during early-stage expansion (3-person team) and architected the foundational Snowflake-based enterprise data platform. • Led vendor evaluation and onboarding for Snowflake and AWS, establishing core cloud architecture and governance patterns. • Migrated legacy Alteryx workflows to scalable Snowflake-native pipelines, reducing ingestion times from days to hours and improving data reliability. • Built ingestion and orchestration frameworks that enabled expansion to 50+ data vendors and global deployment. • Operated as hands-on cloud architect and data engineer prior to formal team scaling.

• Led a team of 3 data professionals supporting global consulting engagements involving data consolidation and advanced analytics. • Partnered directly with consulting teams to design scalable data solutions across industries. • Developed a global COVID impact dashboard tracking industry revenue trends. • Delivered analytics solutions using SQL platforms, Alteryx, Tableau, and Power BI. • Ensured governance, quality control, and delivery oversight across concurrent analytics initiatives.

• Led global analytics engagements supporting Private Equity due diligence and enterprise data consolidation. • Scoped analytics workstreams and mentored junior team members. • Managed AAG database infrastructure and optimized data workflows. • Delivered SQL training programs to analytics teams across European offices.

• Delivered hands-on advanced analytics and data engineering solutions for global consulting engagements. • Built and optimized SQL data models, pipelines, and dashboards supporting high-impact client decisions. • Led on-site data integration initiatives at client locations worldwide.

R&D, skunkworks and mad scientist in advanced data analytics and big data. Doing a lot of work in the geospatial analytics field. Working in the Dynamic Decisioning department.

Leading the Special Projects Team in the FNB DWSS unit. Dealing with research and development of Microsoft Business Intelligence tools for the business.

Responsible for the ETL and cube development team for Discovery Health