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Skills Summary

Condensed from the CV Drafted with AI assistance, checked line by line against the full record. Last verified 2026-09-09.

Seventeen years in enterprise data platform delivery. The full record is on the CV; this is the scannable version.

Technical

Area Detail
Cloud AWS, GCP, Azure — multi-cloud architecture and migration
Data platforms Snowflake, Databricks, Airflow, Spark, Kafka, Delta Lake, Unity Catalog
AI and ML Agentic RAG, retrieval architecture, LLM-as-judge evaluation, MLflow, DSPy, BERT/CoreNLP on SageMaker
Infrastructure Terraform, AWS CDK, Kubernetes, service mesh (HAProxy, Linkerd), GitLab CI/CD
Languages Python, SQL, TypeScript; full-stack .NET background
Analytics Power BI / DAX, ThoughtSpot, dimensional modelling, semantic layers

Delivery

  • Distributed teams from 3 to 70 people, in Agile and SAFe environments.
  • Multi-stream programme coordination — a 10-squad editorial migration, a 25-person retail DWH modernisation.
  • Stakeholder management across matrixed and regulated organisations.
  • Staffing, performance management, conflict resolution, budget forecasting.
  • Measured outcomes: team velocity doubled on one engagement; delivery speed up more than 30% on another; a client's roadmap revised after delivery ran "twice as fast as originally expected".

Engineering excellence

  • SDLC, CI/CD and docs-as-code established from scratch on multiple greenfield engagements.
  • SAFe adoption, SIPOC process mapping, ceremony redesign.
  • Pipeline performance improvements up to 90%+ — one orchestrated pipeline taken from 4 hours to 15 minutes.
  • Manual effort reduced 50–60% through automation and reconciliation tooling.

Generative AI

  • Agentic Code Converter for SQL migration (Impala → Athena/Snowflake, Snowflake → dbt Core) reaching 60% automation coverage, built on EPAM's migVisor suite with custom prompt engineering.
  • Governed knowledge platform for a global CPG manufacturer — ingestion through evaluation, described in Work.
  • NLP risk extraction for financial crime signals — BERT and CoreNLP on AWS SageMaker, delivered from scratch.
  • Second place, EPAM Data Analytics Hackathon, November 2025 — MCP and A2A integration for migVisor.

Most recent large programme

Data platform migration tooling, March – September 2025. Led an 8-person team enabling 70+ Data Product Engineering teams to move 500TB+ across 200+ applications from Cloudera (Impala/Kudu) to an AWS lakehouse. Three tools delivered in parallel: historical data migration (Oozie/Spark/AWS DataSync), the AI-powered code converter above, and reconciliation tooling that halved manual verification — while the programme's scope evolved from lift-and-shift to full replatforming mid-flight.