Case Studies & Delivery Highlights
Selected engagements across industrial analytics, recommendation engines, and platform modernisation.
Industrial Analytics Platform (2022)
Delivered end-to-end ETL flows for an aerospace manufacturing environment, consolidating databases, flat files, and API feeds into a unified analytics layer. Automated KPI dashboards keep production teams aligned through visual insights refreshed in near real time.
Outcome: reduced manual reporting, improved visibility on operational performance, and a scalable pipeline ready for additional data domains.
Realtime Recommendation Evolution (2017–2021)
Scaled an existing recommendation engine by refactoring batch jobs into streaming workloads, adopting a Kappa architecture, and exposing new API features. Implemented automated email alerts and interactive notebooks to accelerate experimentation.
Outcome: fresher recommendations, simplified architecture, and greater transparency for data scientists collaborating through shared Spark notebooks.
Data Integration Factory
Engineered ETL/ELT pipelines covering batch and streaming ingestion. Managed Talend workflows, Kafka topics, Spark Streaming jobs, and supplementary flows in NiFi and StreamSets to keep analytics layers updated.
Outcome: consistent data availability, automated statistics generation, and reusable integration blueprints adopted by multiple product teams.
Hadoop Platform Modernisation
Proposed and led an upgrade of Hadoop environments by deploying new clusters on cloud infrastructure, installing and configuring Cloudera, and validating workloads to leverage the latest ecosystem capabilities.
Outcome: improved platform stability, access to modern features, and governance via Cloudera Director. Knowledge transfer included hands-on training sessions and practical guides for engineers and researchers.
Pipeline Orchestration
Designed orchestration blueprints that coordinate batch and streaming workloads across mixed tooling. Built schedules, alerting, and deployment flows that keep data products on time while documenting the operational playbook.
Outcome: predictable delivery cycles, automated recovery procedures, and audit-ready execution trails for compliance stakeholders.
Streaming Analytics
Implemented low-latency data paths that ingest operational events, enrich them on the fly, and surface actionable metrics in dashboards and alerting channels. Embraced Kappa principles to simplify the stack and accelerate feature delivery.
Outcome: sub-second insight loops, consistent governance of streaming assets, and faster iteration cycles for data science and product teams.
Warehouse Modernisation
Led migrations from legacy warehouse environments to scalable platforms, deploying new clusters in the cloud, optimising storage formats, and validating workloads. Provided transition guides so teams could onboard without disruption.
Outcome: higher platform availability, expanded analytical capabilities, and a roadmap for continuous upgrades backed by infrastructure-as-code practices.