Data Engineer and BI Developer

Candidate Description

A versatile data engineering professional with over three years of experience, this individual excels at designing and optimizing cloud-native analytics platforms across Azure, AWS and Google Cloud. They couple deep technical knowledge of ETL, data warehousing and BI tooling with the agility to support diverse domains, most recently advancing precision agriculture solutions at a Major Agricultural Technology Company. Their foundation in Electronics Engineering, complemented by postgraduate study in Information Technology, underpins strong analytical and problem-solving capabilities.

Proficiency spans Azure Data Factory, Databricks, Synapse Analytics, Apache Spark and Power BI, as well as AWS EC2/S3 and GCP BigQuery. Adept at Python scripting and SQL optimization, they have delivered production-ready pipelines that integrate complex source systems such as Oracle, ADP and Servicemax into secure data lakes. Achievements include a 90% reduction in manual data handling through multi-threaded automation and a 60% cost saving via strategic partitioning and performance tuning.

Known for collaborative engagement with cross-functional teams, they practice CI/CD and Azure DevOps to ensure rapid, reliable releases and champion robust data governance through RBAC and row-level security. Whether mentoring colleagues, liaising with business stakeholders or visualising geospatial insights in QGIS, this professional brings a holistic, quality-driven approach that transforms raw data into actionable intelligence and measurable value.