Cloud & Data Engineer building pipelines that move fast and think for themselves — from cloud-native ETL on Azure to AI-assisted monitoring that explains itself.
Born and raised in Lagos. Computer Science graduate of Lagos State University. My work sits at the intersection of data infrastructure and applied AI — I build the pipelines that move data reliably, then use AI to make those pipelines easier to monitor, explain, and trust.
Most days that means designing cloud-native ETL on Azure, tuning warehouses for cost and speed, and handing less manual pipeline-babysitting to automation.
Migrated a batch-based ETL workflow to a cloud-native, event-driven pipeline on Azure — cutting processing time from 5 hours down to 65 minutes. Airflow handled orchestration; Data Lake Storage managed raw-to-curated data zoning.
Built an automated data quality layer that uses an LLM to flag anomalies and generate plain-language summaries of pipeline failures for non-technical stakeholders — cutting time-to-diagnosis by 80%.
Designed a streaming pipeline ingesting live transaction data via Kafka, feeding a real-time dashboard the business team uses to track transaction trends and support day-to-day decisions.
Refactored a growing Snowflake warehouse — partitioning, query tuning, and workload isolation — reducing monthly compute cost by 90% while improving query times for the analytics team.
Certified
Microsoft Fabric
Data Engineer Associate
Born and bred in Lagos, open to remote and on-site cloud & data engineering work.
© Oladayo Fasokun