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I'm Anjana,I build pipelines, lakehouses, and real-time data platforms that power decisions at scale — 10+ years, enterprise-grade, always reliable.
Led migration of a 50TB+ Oracle DW to Databricks Delta Lake on AWS. 40% query improvement, 30% cost reduction, 200+ users served.
View ProjectStreaming analytics processing 10M+ events/day with sub-5-second latency. Reduced reporting lag from 24 hours to near real-time.
View ProjectAuto-scaling Spark clusters + intelligent data lifecycle policies delivering $2M+ annual cloud savings. Compute costs cut 35%.
View ProjectEnterprise-wide data quality using Great Expectations. Reduced critical defects by 70%, enabled SOX compliance and regulatory reporting.
View ProjectAre you ready to see more?
See All Works"Anjana brought structure to our entire data estate. The lakehouse migration was seamless and the pipelines she architected have run without a single outage for two years."Sarah Mitchell Chief Data Officer, Lloyds Banking Group
My working process revolves around an approach aimed at maximising productivity and delivering clean, reliable data from day one.
Learn MoreAudit existing data landscape, identify pain points, map stakeholder needs and define success metrics.
Blueprint the data model, pipeline topology, and storage strategy. Choose the right tools for scale and budget.
Engineer robust pipelines with built-in data quality checks, monitoring, and CI/CD from day one.
Tune performance, reduce cloud spend, and iterate with the team to ensure the platform meets high standards of quality and reliability.
These numbers reflect the experience and consistency, and measurable impact behind the work I've delivered over the years.
I am Anjana, a Data Engineering Lead based in London. With a keen eye for scalable architecture and a knack for building high-performing teams, I thrive at the intersection of cloud, data, and engineering.
My journey across Infosys, Accenture, HSBC, and now Lloyds Banking Group has been a testament to my passion for crafting reliable, enterprise-grade data platforms and fearlessly pushing the boundaries of modern data engineering.
Lead a team of 8 engineers. Built enterprise data lakehouse on AWS/Databricks, migrated 50TB+ Oracle DW, delivered $2M+ in cloud savings.
Real-time fraud detection pipelines processing 5M+ transactions/day. Designed data quality framework reducing critical defects by 70%.
ETL modernisation for global insurance client. Migrated Informatica to Spark, cutting batch processing time by 60%.
SQL-based reporting solutions for retail analytics. First exposure to large-scale DW design and BI tooling.
Got a data challenge in mind? Let's build something great. I can transform that problem into a reliable, scalable platform.