Negmat Mullodzhanov

Senior Data Engineer - Managing data processing and reporting across multiple clients (Audible, L'Oréal, Square, Novo Nordisk, Perfetti Van Melle, and Otsuka) using Python, SQL, SSIS, SSAS, and Tableau - Migrating on-prem MSSQL ETL solutions to GCP using BigQuery, Google Cloud Storage, Cloud Functions, SQL, and Python - Built a "Data Management Portal" using Python and Streamlit Web Framework to facilitate new client rollout, data processing, feed generation, SSAS cube and Tableau refreshes via a single interface - Built out Python ETL Framework to templatize and simplify data processing across clients. Reduced client rollout time from months to days US Census Data Engineer - Managed the development of a Web Application which is facilitating data collection across Traditional and Digital Media for 10,000+ vendors for Census 2020 Campbell's Data Engineer - Twitter Data Acquisition: Utilizing Twitter Ads APIs, built an automated solution in Python for collecting Campaign performance data and storing it in a database - MMX Feeds: Using SSIS and SQL, designed and built database processes for ingesting and enhancing data files, and exporting feeds for Data Modeling L'Equipe L'Oréal Data Lead - Print Rates and Circulation Negotiation: Designed database model and built database processes for a web application to be used by 100+ users to collect rates, circulation, and terms and conditions information for 100+ magazines. This project has been selected as a Regional (North America) Winner of MEC Global Ideas 2017! - Print Positioning Negotiation: Designed and built database backend and oversaw front end Excel/VBA solution implementation for facilitating positioning negotiation across 50+ magazines - Competitive Dashboard: Designed and managed the development of the backend database built in support of a Competitive Dashboard AT&T Data Lead - Managed a team of database developers - Rebuilt database processes for AT&T Competitive Database using SSIS/SQL