Owais Minhaji

Directly managing a team of 6 Data Engineers (3 Senior, 3 Mid‑level), Responsible for full engineering management including performance reviews, 1:1s, career development, and performance improvement plans (PIPs), Technical ownership of core order processing and fulfilment data platforms used by multiple European markets, Leading architecture decisions and engineering standards across the data platform

Directly managing a team of 6 Data Engineers (3 Senior, 3 Mid‑level)
Responsible for full engineering management including performance reviews, 1:1s, career development, and performance improvement plans (PIPs)
Technical ownership of core order processing and fulfilment data platforms used by multiple European markets
Leading architecture decisions and engineering standards across the data platform
Re‑architected multiple high‑volume production pipelines processing millions of weekly customer orders, improving system reliability and reducing pipeline failures by ~35%
Standardised data engineering patterns and pipeline architecture across three markets (UK, DACH, Ireland), improving operational consistency and reducing duplicated engineering work estimated to save ~£250k annually in development effort
Led migration of operational datasets from fragmented sources (Google Sheets and legacy systems) into a centralised Snowflake warehouse, improving reporting accuracy and eliminating manual processes estimated to save ~£120k annually in analyst time
Authored architecture RFCs and system designs for distributed supply‑chain data platforms supporting logistics operations responsible for tens of millions of pounds in weekly revenue
Mentored and technically guided engineers through architecture reviews, pair programming, and system design coaching, improving team delivery velocity and raising engineering standards across the data organisation

Delivered real-time streaming pipelines using Kafka + SQS/SNS, reducing ingestion lag to sub-5 seconds for operational visibility, Migrated critical batch workflows to containerized Airflow on Kubernetes, cutting deployment times from days → under an hour with far more reliable rollouts, Designed and implemented the NDD allocation pipeline powering daily fulfilment and routing decisions, Built Snowflake/ dbt models used across planning & operations, reducing query cost and improving end-user performance

Migrated the core order creation pipeline from on-premise to cloud (Airflow, Docker, ECR), improving scalability and reliability, Designed and deployed containerized data solutions with Docker, Kubernetes, and Airflow, reducing environment setup time and accelerating deployments, Developed a bin-packing algorithm that optimally split large orders into multiple boxes, enabling customers to add more items and driving incremental revenue, Rolled out production pipelines for two new fulfilment sites, integrating data into box production and delivery systems to support operational expansion, Increased system uptime by building fault-tolerant, containerized microservices with auto-scaling and Airflow-based monitoring, reducing downtime and incident recovery time, Supported exponential growth for the business during COVID setting up scalable automated robust production pipelines

Created the UK Order Creation Data Pipeline (Python, Airflow, Snowflake) to process millions of daily customer orders, ensuring scalable, reliable order flow into fulfilment and logistics systems, reducing failures and operational costs, Automated cross-team data workflows (Supply Chain, Finance, Marketing) using Python and SQL, eliminating manual reporting, saving analyst hours, and improving data accuracy for faster decision-making, Developed a Receiving Discrepancy Tool (Python + SQL) comparing supplier deliveries vs purchase orders, enabling real-time discrepancy detection, reducing inventory shrinkage, and delivering £100k+ annual cost savings

Delivered real-time streaming pipelines using Kafka + SQS/SNS, reducing ingestion lag to sub-5 seconds for operational visibility
Migrated critical batch workflows to containerized Airflow on Kubernetes, cutting deployment times from days → under an hour with far more reliable rollouts
Designed and implemented the NDD allocation pipeline powering daily fulfilment and routing decisions
Built Snowflake/ dbt models used across planning & operations, reducing query cost and improving end-user performance
Provided structured mentoring, including code reviews, architecture walkthroughs, and hands-on guidance — directly contributing to a more autonomous, higher-performing engineering team

Migrated the core order creation pipeline from on-premise to cloud (Airflow, Docker, ECR), improving scalability and reliability
Designed and deployed containerized data solutions with Docker, Kubernetes, and Airflow, reducing environment setup time and accelerating deployments
Developed a bin-packing algorithm that optimally split large orders into multiple boxes, enabling customers to add more items and driving incremental revenue
Rolled out production pipelines for two new fulfilment sites, integrating data into box production and delivery systems to support operational expansion
Increased system uptime by building fault-tolerant, containerized microservices with auto-scaling and Airflow-based monitoring, reducing downtime and incident recovery time
Supported exponential growth for the business during COVID setting up scalable automated robust production pipelines

Created the UK Order Creation Data Pipeline (Python, Airflow, Snowflake) to process millions of daily customer orders, ensuring scalable, reliable order flow into fulfilment and logistics systems, reducing failures and operational costs
Automated cross-team data workflows (Supply Chain, Finance, Marketing) using Python and SQL, eliminating manual reporting, saving analyst hours, and improving data accuracy for faster decision-making
Developed a Receiving Discrepancy Tool (Python + SQL) comparing supplier deliveries vs purchase orders, enabling real-time discrepancy detection, reducing inventory shrinkage, and delivering £100k+ annual cost savings