Salaar C.

Senior Data Engineer & Data Architect with 8+ years of experience building scalable data platforms, ETL/ELT pipelines, data warehouses, and analytics infrastructure. I help companies turn fragmented, unreliable data into well-designed systems that are automated, scalable, and easy to use. My experience spans both fast-moving SaaS companies and consulting projects, including designing data platforms, integrating numerous data sources, building production pipelines, implementing data quality frameworks, and developing AI/LLM-powered data enrichment workflows. My core expertise includes: • Databricks, Delta Lake & Spark • Python & SQL • AWS (Redshift, S3, Lambda, API Gateway) • BigQuery & modern cloud data warehouses • ETL/ELT & data pipeline development • Kafka & streaming data systems • Data modeling & warehouse architecture • Data quality, governance & observability • APIs and third-party data integrations • Looker, Sigma & analytics infrastructure • AI/LLM-powered data pipelines I’m Databricks certified and hold an MSc in Applied Informatics - Big Data Technology from Vrije Universiteit Brussel (VUB), where my research focused on distribution strategies and performance in stream-processing systems. I’m particularly useful when you need someone who can go beyond implementing individual pipelines and think about the architecture of the overall data system - how data is ingested, modeled, validated, processed, and ultimately made reliable for analytics or downstream applications. Whether you need a new data platform, an existing pipeline fixed or optimized, a warehouse redesigned, or a reliable data integration built, I can take the problem from architecture through implementation.