Built cross-functional relationships with data scientists, PMs, software engineers, and all workflow departments to understand data needs. Led the development and implementation of a data warehouse, resulting in a 50% increase in data accessibility. Collaborated with data scientists to develop data pipelines to improve data accessibility, resulting in a 40% increase in data availability. Developed and maintained data governance policies and data security protocols, ensuring compliance with industry regulations and protecting sensitive data.

Automated ETL processes across thousands of rows of data, which reduced manual workload by 39% monthly. Ingested data from disparate data sources using a combination of SQL and API using Python to create data views for BI tools. Collaborated on APIs and managed software workflow using Scrum methodology. Developed continuous improvements to the production system and webpage that improved autonomy by 25%. Implemented a data pipeline that improved the accuracy and speed of data retrieval for the company's analytics by 25%.

Collaborated with an agile team and helped prioritize and scope feature requests to ensure that the biggest impact features were worked on first. Communicated with contractors, internal teams, and stakeholders to determine solutions for the user requirements. Updated the payment stubs system, saving and streamlining the user experience by 60%. Built and preserved applications that scale to 50-1500 users per week. Led a project to create, design, and streamline reports for 3 departments that improved labor efficiency by 45%.

Increased production autonomy by 52% through continuous improvement of the production system. Improved the database reporting needs and turned them into powerful SQL queries that extracted data and compiled it into meaningful reports, improving 45% productivity. Coordinated data migrations between third-party software and our database. Designed and developed new (DDL) and reports, stored procedures, functions, views, and triggers in Microsoft SQL server and MySQL server. Specified user access levels for database segments.