About Me
Data Engineer with 10+ years of experience. Skilled in connecting technology with strategy, leading teams, and sharing knowledge. Open to new ideas and collaborations.
My Expertise
- Data Engineering: Building data models and scalable ETL processes
- MLOps: Implementing CI/CD for machine learning models
- Cloud Services: AWS and GCP architecture and implementation
- Analytics: Transforming data into actionable business intelligence
Skills
Python SQL R Docker Git AWS GCP Tableau dbt
Experience
Data Engineer, Creos Luxembourg06/2025 – Present
Senior Business Intelligence Engineer, Amazon08/2018 – 04-2024
- Applied data engineering principles and best practices for data modelling, test-driven development, and documentation. Implemented CI/CD using AWS resources and internal tools resembling dbt, GitLab, and GitHub Actions
- Developed PySpark ETL for an API, which enabled a system to monitor KPIs. This resulted in a feedback loop that reduced critical escalations by >60%.
- Led end-to-end data modeling for OLTP and OLAP systems for WebApp based on Python (Django) and AWS (Lambda, Glue, Redshift), used by 300 FTEs globally (5 countries) that improved throughput by >50%.
- Developed ML algorithms (in AWS Sagemaker) to optimise the product classification, improving accuracy by >15%. Implemented the ETL process using Amazon’s internal Spark-based tool and Data Lake.
- Optimised sampling algorithm, reducing standard error by 20%, conserving an equivalent of 3+ FTEs, and improving the error identification rate from 5% to 10%.
- Collaborated with 6+ teams to establish 40+ KPIs. Developed data pipelines (using Spark and Redshift), reducing reporting delays from 10 days to just 1. Saved $7M+ in 6 months by proactively tracking and addressing false negatives.
- Established core KPIs to drive enhancements and support the launch of new features in supply chain simulation systems.
- Contributed to team expansion and development through 100+ technical interviews and providing ongoing professional mentorship.
Decision Scientist (Consultant), Mu Sigma Business Solutions Pvt Ltd07/2015 – 07/2018
- Engineered ML models for targeted marketing campaigns, leveraging the Net Promoter Score (NPS) and customer behavior data, resulting in >10% improvement in customer retention rates.
- Promoted a data-led strategy for multi-channel attribution, identifying high-yielding customer journey channels and optimizing spend, resulting in an average 8% reduction in customer acquisition costs.
- Established critical KPIs for comprehensive pre- and post-value-add analysis and implemented A/B testing for credit card offers, enhancing operational efficiency through automated reporting in Tableau.
- Executed time-series analysis to classify transactions and isolate anomalies, providing decisive insights through Tableau visualizations.
- Designed an innovative data architecture for tracking European market spending and transaction metrics, successfully navigating the complexities of unstructured and multilingual data using Qlik and SQL.