I am a Senior Data Engineer and Technical Lead with over five years of commercial experience designing scalable data infrastructure, data warehouses, lakehouses, and ETL/ELT pipelines. I specialize in transforming complex business requirements into reliable, production-grade data platforms.
I have strong hands-on expertise in Python, SQL, PySpark, Pandas, Apache Spark, and modern data engineering practices. My experience includes building Medallion lakehouse architectures, dimensional models, star and snowflake schemas, analytics-ready data marts, and high-volume data processing solutions.
I work extensively with Microsoft Azure, including Azure Data Factory, OneLake, Synapse, Fabric, and Dataflow Gen2, while also delivering integrations across AWS and GCP. I have built robust ingestion systems for APIs, third-party sources, data scraping workflows, event-driven services, and heterogeneous operational databases.
I am experienced with relational and column-oriented databases including PostgreSQL, MySQL, SQL Server, Oracle, Snowflake, ClickHouse, and MongoDB. I focus on data quality, observability, lineage, schema testing, incremental loading, performance optimization, and fault-tolerant pipeline design.
I have led cross-functional teams of data, backend, and BI engineers in Agile environments, managing architecture reviews, delivery planning, stakeholder communication, and technical prioritization. My domain experience includes FinTech, banking, investment analytics, risk reporting, and logistics platforms.
I am fully remote and aligned with UK and CET working hours. I am interested in senior and lead-level data engineering opportunities where I can own end-to-end platform delivery and help teams build scalable, maintainable data products.