Jose Luis Estrada

Data Eng, Mgmt, & Governance Sr Analyst @Accenture Federal Services

San Diego, CA, US
EMAILS
j•••••••@sandiego.edu
MOBILE NUMBERS
+16•••••••50

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WORK HISTORY

Dec 2023 — Present

Data Eng, Mgmt, & Governance Sr Analyst @Accenture Federal Services

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Washington, DC, US

Developed and maintained 10+ Power BI and Tableau dashboards used by Sr. Managers, Directors, and federal program leadership to monitor Agile delivery, staffing, hiring pipelines and operational performance across two agencies• Managed data engineering workflows in a secure Citrix environment, extracting datasets from Jira (REST API) and SQL/Oracle databases and updating SQL queries to refresh 500K+ records for reporting• Reduced reporting time from 10 days to 2 hours by automating Python ETLs, standardizing data with pandas, and integrating automated updates into Power BI models

EDUCATION

2012 — 2016

Southwestern Community College District

Associate’s Degree, Liberal Arts: Emphasis in Math and Science

2016 — 2019

University of San Diego

Bachelor of Arts and Science - BA & BS, Industrial and Systems Engineering

2020 — 2022

University of San Diego

Master of Science - MS, Applied Data Science

SKILLS

Community OutreachTeamworkMicrosoft OfficeStrategic PlanningC++ManagementPublic SpeakingTime ManagementLeadershipAutocadInventory ManagementCustomer ServiceMicrosoft ExcelPowerpointEvent PlanningProject ManagementSolidworksMicrosoft WordTeam LeadershipEngineering

ABOUT JOSE LUIS ESTRADA

Analytics Engineer with 4+ years of experience building data pipelines, automating ETL workflows, and delivering dashboards that drive decisions at the director and executive level. Experienced working with REST APIs, SQL/Oracle databases, and Python to transform complex datasets into reliable, scalable reporting infrastructure. Currently at Accenture Federal Services, where I reduced reporting time from 10 days to 2 hours through Python ETL automation and maintain 10+ Power BI and Tableau dashboards used by federal program leadership. Previously at LinkedIn, where I analyzed 100M+ records to establish a marketing strategy baseline for the Go-To-Market Data Science team. Also a Lecturer at the University of San Diego, where I teach graduate-level Python, R, and data engineering — which keeps me sharp on fundamentals and connected to the next generation of data practitioners. Looking to bring my background in data engineering and analytics to a product-driven tech company in San Diego where data infrastructure directly impacts business outcomes.

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