Senior architecture, led onshore.

Cloud-native data lakes and agentic AI on AWS — adaptive ingestion, auto-relationalization, and Iceberg / Bedrock platforms.

Founder of Inteledyne and Lake AI. Sixteen years architecting enterprise data layers — building them, repairing them, and occasionally being asked to render a verdict on them. Robin writes code in the same engagements where he writes architecture, with a throughline of self-evolving foundations that absorb source-system change instead of breaking on it.

• University of Wisconsin — consolidated EMR data lake on AWS EMR + Apache Iceberg, with a Python/Spark auto-relationalization engine

• Salesforce — AWS data-platform-as-a-service: serverless ingestion, elastic compute, and Bedrock PII classification at 95%+ accuracy

• Viasat — shared-sandbox selective-promotion CI/CD, sub-second microservices, and the AWS→GCP migration architecture

• Taco Bell — first ground-up AWS analytics environment (VPC, security, data lake, streaming)

• NTT DATA / Hashmap — modernization engagements and Snowflake security frameworks (Poly, SEI, Juniper)

Snowflake-native, event-driven, AI-ready analytics platforms — Cortex AI, Snowpark, dbt, and semantic modeling, with deep emphasis on data governance and quality.

Principal-level cloud, data, and AI engineer with 20+ years building enterprise-scale analytics platforms across media, healthcare, insurance, and consumer intelligence. Amit specializes in Snowflake-native platforms — Dynamic Tables, Cortex AI, Snowpark — and in moving organizations from legacy reporting to governed, scalable analytics. He works as both an embedded senior technical leader for large enterprises and the principal of his own consulting practice.

• The Walt Disney Company — Lead Software Engineer on the data pipeline platform (Spark/Scala, Snowflake, Airflow on AWS)

• AIG — Data Management Lead building Palantir Foundry ontologies across underwriting, claims, and risk, with governance and lineage embedded

• MFour — Principal architect of a Snowflake-native behavioral analytics platform with Cortex AI enrichment

• Blue Shield of California — next-generation Claims ODS on Netezza

• Verizon — next-generation billing, revenue-assurance, and data-warehouse systems

Azure and AWS cloud engineering and administration — infrastructure, system connectivity, and SQL Server / Windows environments.

Cloud engineer with a background in Azure and AWS infrastructure and administration. David builds and maintains cloud solutions and the system connectivity that keeps vendor and customer integrations running, grounded in SQL Server, Windows Server, and network administration.

Enterprise analytics operations and digital program management — governed self-serve analytics at scale, identity & access management, and Six Sigma-driven continuous improvement.

Award-winning operations and program leader with 15+ years across the aviation, energy, rail, and transportation industries at Pratt & Whitney and GE. Magdalena built and ran Pratt & Whitney's global Enterprise Analytics operation — a governed Hub & Spoke self-serve model sustaining 300+ business applications for 6,000 consumers worldwide — and led digital programs for military engine health monitoring. A GE-trained Six Sigma Black Belt, she is fluent in English, Spanish, and German.

• Pratt & Whitney — Global Enterprise Analytics operations: governance, compliance, and the Hub & Spoke self-serve model across 300+ applications, generating $10M+ in savings and cost avoidance

• Pratt & Whitney Military Engines — Senior Digital Program Manager for the Engine Health Management software suite serving 120+ customers and 8,000 engines, including CMMC audit and ATO certification

• Pratt & Whitney — Universal Access Verification identity & access management platform for 5,000+ users, cutting help-desk turnaround from weeks to under 48 hours

• GE Transportation, Energy & Aircraft Engines — supplier quality management and Six Sigma Black Belt roles across diesel, marine, and stationary markets