El Houssine T. Email & Phone Number

Munich, By, De

Munich, Bavaria, Germany

- Assisted in the creation of scalable data lakes on AWS, leveraging Lambda, Athena (Iceberg & Parquet based) for efficient data processing, catalyzing a ~20% increase in data retrieval speed- Designed and implemented robust ETL pipelines using Spark (AWS EMR), optimizing data flow and enhancing analytical capabilities- Utilized Pandas & Scikit-learn for advanced linear regression modeling, enabling personalized per-customer inferences that drove a ~10% improvement in customer engagement- Contributed to the development of a cloud-based analytics platform using AWS services, facilitating a seamless flow of data ingestion- Conducted comprehensive statistical analyses using T-tests and Z-tests to validate data assumptions which helped us reach numerous business goals- Proactively maintained AWS services, reducing downtime by ~30% through the implementation of custom CloudWatch alarms, ensuring high availability and reliability- Leveraged Apache Flink (via AWS Kinesis) for efficient stream processing, enhancing data throughput and enabling near real-time data availability- Reported OKRs to C-level and other insights to business partners

- Advised on data lakes design and fault-tolerant ETL pipelines for a large government-based project- Developed data analytics pipelines (via AWS Redshift) for critical daily business insights in a large oil & gas enterprise in the UAE - Led the transition to serverless architectures with AWS Lambda, slashing operational costs by 20% while maintaining high data processing throughput.- Leveraged strong communication skills to bridge gaps between technical and non-technical teams, resulting in a 20% faster project delivery timeline (internal).Implemented regular feedback mechanisms, improving team morale and reducing turnover significantly for our client.- Led client engagements and reported performance dashboard insights using Plotly (Python) to client’s head - Implemented Robotic Process Automation (RPA) for a semi-private entity to increase HR department efficiency by 60%

- Extracted business insights from unstructured raw data streams (NLP) and was responsible for data quality/governance compliance- Advised the technical due diligence of a high profile internal research contract- Utilized Spark/Hadoop in local clusters for big data processing ETLs- Compiled & communicated technical reports with an international team

Exeter'S Program, Oxford'S Exeter'S Program

Bachelor Of Applied Science - Basc, Computer Engineering

Specialisation Track (Online), Machine Learning