Jithesh Gopinathan

Client: a UK water services provider

Built the client’s data ingestion and billing pipelines on Azure.

• Built ingestion pipelines drawing customer, usage, and market data from multiple channels into a Delta Lake landing layer using Azure Data Factory.
• Built the billing data pipelines in Azure Data Factory, using ingested data to generate customer billing.

Client: a major UK airline

Led the initial migration of the client’s data capabilities onto a data mesh architecture.

• Led the initial phase of moving data capabilities onto a modern, decentralised data mesh architecture, improving data accessibility across the organisation.

Client: a UK e-commerce retailer

Led the data engineering workstream collecting and loading the client’s business data into Delta tables.

• Built real-time and batch ingestion from multiple disjoint data endpoints into a Delta Lake landing layer on Azure Fabric.
• Worked directly with business analysts and stakeholders to translate requirements into pipeline design, and unblocked cross-team dependencies within the sprint.

Client: a UK energy-sector organisation

Built the pipelines that transformed the client’s national energy usage data for downstream teams.

• Applied complex business logic across large national energy datasets and stored the results in Delta tables for efficient downstream access.
• Collected real-time data from multiple energy data endpoints and transformed it into the formats each downstream team needed.

Client: a UK public health body

Ran ETL processes and maintained the data warehouse behind the client’s national vaccination data.

• Ran ETL processes over the national vaccination dataset, including SNOMED code updates, and maintained the data warehouse behind it.

Client: a major UK radio broadcaster

Built the Customer Data Platform pipelines for the client’s entire user base.

• Built the streaming and batch ingestion pipelines feeding mParticle, transforming data into the CDP’s required format across the full user base.

Built a big data and machine learning platform from the ground up.

• Built the entire Hadoop ecosystem from a bare installation, standing up the big data infrastructure the platform ran on.
• Worked closely with data scientists across the full ML lifecycle — data collection, transformation, and model pipelines — and automated model deployment.

Built the streaming integration layer for a payment system processing millions of transactions.

• Built a Kafka-to-Kafka streaming application, processing payment events through Spark and writing results back for downstream systems handling millions of transactions.

Developed backend functionality for the bank’s KYC application, supporting Investment Bank counterparts.

• Implemented change requests from business analysts on the KYC data-collection application, working directly with the Paris team.

Built an online insurance application for Australian home, motor, and landlord customers.

• Delivered well-tested, production-ready code across the full development lifecycle as an offshore engineer working directly with Australian clients.

Built account-opening and lending tools for US banking clients.

• Designed and built the Newday configuration tool for D+H’s uOpen platform, cutting a 5–6 day bank-configuration process down to one day.
• Received the company’s ‘Go Extra Mile’ award, March 2014.