Expertise

Areas of practice

• Data platforms and pipelines

  Lakehouse and warehouse platforms on Databricks and AWS, with automated ETL that took critical data-processing latency from two weeks to 45 minutes.

• Cloud modernization

  Moving legacy estates to cloud-native architecture, from a 40-application middleware migration to a $15M modernization program that cut total cost of ownership by 40%.

• Distributed and event-driven systems

  Replacing monoliths with Kafka-based microservices, including a rebuild that increased data-processing throughput tenfold.

• AI adoption in engineering

  An LLM-assisted code-generation workflow that raised productivity by 35%, and a budget shift that moved 60% of investment from legacy systems to AI and ML.

• DevOps and reliability

  CI/CD with automated testing and zero-downtime deployments, and monitoring that tied downtime to business impact and held availability at 99.95%.

• Data governance

  Governance and compliance frameworks across a global data estate, and daily pipelines that reduced reporting inconsistencies by 95%.

• Building engineering organizations

  Founding a data engineering function of more than 15 engineers, leading teams across five countries, and growing people into tech lead roles.

• Product and delivery partnership

  Turning business priorities into roadmaps and sprint plans, with an 80/20 balance between feature delivery and technical debt reduction.