Mugisha Jules Maurice

Skills Jules Maurice Mugisha Data Engineer  - - https://github.com/julesSAWAdev  https://www.linkedin.com/in/mugisha-jules-maurice/ Summary Experienced data engineer with 5 years of hands-on experience in designing, implementing, and optimizing data infrastructure. Proficient in Python, SQL, and ETL processes, with a proven track record of successful collaboration with cross-functional teams Experience Irembo Data Engineer II April 2024-Present Programming Languages: Python, SQL Database Management Systems: PostgreSQL, MongoDB ,Redis, SQL Server, Clickhouse Big Data Technologies: Apache Spark,Hadoop Cloud Platforms: AWS (Amazon Redshift, S3), Azure (Azure Data Factory), Snowflake Designed and implemented scalable data pipelines and data marts, leveraging ClickHouse and Apache Doris to power analytics, reporting, and machine learning workflows. ETL Tools: DBT, Apache NiFi, Talend , Apache Airflow Built and optimized data warehouses and data stores to streamline ETL processes, improving data accessibility and usability. Certifications Translated business needs into technical solutions, creating robust data architectures aligned with organizational objectives. Prepared and transformed raw data for prescriptive and predictive modeling, enhancing machine learning model accuracy by 20%. Improved data quality and reliability by implementing best practices in data modeling and architecture. Collaborated with cross-functional teams, including Data Analysts and Data Scientists, to deliver tailored data solutions for multiple projects. Reduced data processing times by 30%, enabling near-real-time reporting and analytics. Delagua Data and Systems manager March 2023 - May 2024 Kigali, Rwanda Designed and implemented scalable data architectures, improving overall data processing efficiency by 30%. Developed and maintained ETL pipelines to ensure timely and accurate data delivery for business intelligence and analytics. Conducted performance tuning and optimization of database systems, achieving a 20% reduction in query response time. ZEP-RE DRIVE Senior Digital analyst  https://zep-re.com/drive-project June 2022 - May 2024 Nairobi, Kenya Built and optimized ETL pipelines to extract, transform, and load data into the data warehouse from app and USSD efficiently Implemented data transformation and structure data for analysis. Managed and optimized database systems for performance and scalability. Conducted performance tuning and optimization of database systems Goldner capital management Mid level data engineer  https://www.goldnercapital.com/ July 2022 - August 2023 New York, USA Analyzed and organized raw data, Built data systems and pipelines, Build algorithms and prototypes and Interpret trends and patterns. Conducted complex data analysis and report on results, Prepared data for prescriptive and predictive modeling. Management of AWS data pipeline and snowflake cloud platform Implemented data Loading from data vendors to Snowflake using APACHE Airflow and NIFI Education Carnegie Mellon University Information Technology 3.3  https://www.cmu.edu/ University Of rwanda Information technology 70 %  https://www.ur.ac.rw August 2019 - May 2021 Master of science August 2015 - September 2019 Bachelors of science Projects Goldner Care Real-time Data Insights Deployment (2022) Collaborated with data science team to deploy machine learning models into production, enabling real-time data analysis. Utilized Apache Spark for distributed data processing, ensuring scalability and high performance. Communicating for Impact McKinsey & Company April 17, 2023 Languages English French