Mezgebu Teferi

Mezgebu Birhan 60 College Sefer Adama, Ethiopia -- Summary Highly motivated and results-oriented Data Engineer with 5+ years of experience in data analysis, transformation, and pipeline development. Proven ability to design, build, and optimize data infrastructure for ERP and data warehousing systems, driving business value for diverse clients across startups and large enterprises at Qnet and Ethiobusiness. Skilled in Python, DBT, CRM and Spark. Adept at collaborating with cross-functional teams, analyzing business needs, and advocating for impactful data solutions. Thrives in fast-paced, remote-first environments and values continuous learning and skill development. Experience Qnet, Hong Kong (Jul 2022 - Present) Data Analyst & Sales Manager: Analyzed customer reports and data, extracting insights to inform business decisions and drive lead generation (15% increase). Developed and implemented automated data pipelines, integrating diverse sources into an ERP system (Netsuite) for improved operational efficiency. Built custom REST APIs for data extraction and upload, streamlining data flow between systems. Ethiobusiness, Addis Abeba ETH(Jun 2015 - Sep 2019) Data Analyst: Processed and visualized raw data, creating reports and dashboards for business stakeholders. Identified trends and patterns in customer data, leading to targeted marketing campaigns and increased sales (10%). Developed and implemented data cleaning and transformation processes to ensure data quality and integrity. Technical Skills Programming Languages: Python, SQL Cloud Platforms: AWS (Glue, Lambda, Redshift) Data Integration Tools: DBT, Meltano Big Data Processing: Spark Additional Skills: Excel, Power BI, CRM Education University of The People, CA. USA (BSc Computer Science, Dec 2016 - Mar 2020) Awards & Projects Data Science Certificate, University of The People Developed an automated web crawler and Natural Language Processing indexer (project). Implemented a neural network model for pattern detection in data (project). Built a lead generation tool using automated scraping techniques (project). Languages English (fluent) Amharic (native) Cultural Fit Passionate about using data to solve real business problems and drive growth. Thrives in collaborative, cross-functional environments with diverse teams. Values continuous learning, skill development, and knowledge sharing. Excited about a remote-first culture with a strong emphasis on work-life balance and inclusion. Additional Information Available to work full-time with significant overlap between CET, WST and EST time zones.