Dijesh N.
Manager @Capgemini
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WORK HISTORY
Manager @Capgemini
London, GB
Lead Data AnalystLead Data ModelerAs a part of a legacy platform decommissioning program performed end-to-end analysis of legacy warehouse structures and data flows to map logic, dependencies, and transformation rules for cloud migration. Drove data quality validation, discrepancy resolution, and control mapping, while designing streamlined, standardized pipelines and producing analytical insights supporting campaign and product upsell use cases.As Modeller & Tech Lead, built and governed regulatory data models on GCP BigQuery using dbt and GitHub DevOps, delivering staging, LDM/PDM layers, mappings, and lineage. Designed domain‑specific models across Customer, Loans, Mortgages, and Collateral to support Bank of England reporting compliance.
EDUCATION
Saïd Business School, University of Oxford
Oxford Leading Strategic Projects Programme, Organizational Leadership
Gujarat University
Bachelor of Engineering - BE, Electrical
ABOUT DIJESH N.
Accomplished data professional with 13+ years of experience across Commercial Banking, Retail Banking, Loans and Mortgages, and Customer domains. • Specializes in data analysis, data modelling, data lineage, data migration, data engineering, data integration, data warehouse architecture, and data strategy across GCP, Azure and AWS. • Skilled in designing and implementing end‑to‑end data solutions and transforming datasets into actionable business insights. • Brings strong team leadership and organizational experience, and problem-solving skills, with the ability to communicate technical concepts effectively to non‑technical stakeholders and collaborate with cross‑functional teams.Let’s connect if you’re looking to build data-driven strategies that create real-world impact.Skillset:• Core Skills: Data Migration, Data Analysis, Data Engineering, Data Modelling, Data Warehousing, Lakehouse, Data Lineage, Data Governance• Cloud Technologies: GCP (BigQuery, Dataflow, Pub/Sub, Composer / Airflow, Dataproc, Cloud SQL, GCS, IAM, Bigtable), AWS (S3, Redshift, Glue), Azure (ADF, Azure AI, Foundry, Azure ML), Databricks, dbtDB, Programming & Scripting: SQL, Python, PySpark, Shell Scripting, Postman, VS Code, Claude Code, GitHub Copilot, Oracle, PostgreSQL, MySQL• Other Tools: Apache NiFi, Qlik Replicate, Collibra DQ, ERwin, MS Visio, Power BI, Looker, ChatGPT, Draw.io• DevOps: Jenkins, Ansible, GitHub, SonarQube, CA service desk manager• Ways of Working: Agile & Waterfall, Jira, Scrum Kanban, Confluence
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