Data & Analytics Engineer - ETL & BI Specialist

Michael Ariwodo

Atlanta, GA ***************@*****.*** 678-***-**** LinkedIn GitHub

PROFESSIONAL SUMMARY

Data and Analytics Engineer with experience building scalable data models, engineering ETL pipelines, and transforming raw data into reliable, analytics ready datasets. Advanced SQL and Python user with strong expertise in Tableau and Power BI for business intelligence delivery. Proven ability to improve data quality, optimize reporting performance, and translate stakeholder requirements into well-structured data solutions that support operational and strategic decision making.

CERTIFICATIONS

Georgia Tech Data Science & Analytics Certification

KSU Graduate Certificate – Software Engineering Foundations

International Scrum Institute – Scrum Master Certification

SKILLS

Power BI

Tableau

SQL

Python

Excel

Data Mapping

Data Validation

Data Visualizations

Data Reporting

KPI Dashboards

Data Management

Business Information Reporting

DBMS Concepts

Relational Databases

Microsoft SQL Server

Customer Experience Focus

Business Value Delivery

Architectural Standards (Reporting/BI)

PROFESSIONAL EXPERIENCE

HP Inc April 2023 – January 2026

Business Analyst

Engineered and optimized ETL pipelines using SQL and Python, improving data refresh reliability, and reducing processing time.

Developed and maintained dashboards enabling data driven planning and communicate insights.

Performed advanced SQL analysis on large datasets to identify trends, anomalies, and operational insights.

Translated business requirements into technical data specifications, metric definitions, and reporting logic.

Collaborated with cross functional teams to improve data accuracy, validation rules, and dataset integrity.

Supported Agile initiatives through user story documentation and iterative data solution enhancements.

Increased dataset reliability and reporting accuracy through improved transformation logic and validation checks.

Improved stakeholder engagement by enhancing data visualization structure and KPI clarity.

HomeCare Solutions May 2022 – April 2023

Data Analyst

Developed structured SQL datasets and transformation logic to support Power BI dashboards and executive reporting.

Optimized relational tables and data structures, reducing reporting errors and improving data consistency.

Established data governance and KPI standardization practices to ensure audit ready reporting.

Automated recurring analysis workflows, improving reporting efficiency.

Built and maintained SQL based transformation logic to convert raw operational data into structured, analytics ready datasets for reporting and KPI tracking.

Implemented data validation and quality checks to identify inconsistencies and improve trust in reporting outputs across business teams.

Optimized SQL queries and dataset structures to improve reporting performance and reduce dashboard load times.

Andretti Indoor Karting & Games April 2021 – March 2023

Administrative Operations Specialist

Developed KPI datasets and operational reports to support business planning.

Improved data consistency and documentation processes for compliance and reporting accuracy.

Used performance metrics to inform operational and staffing decisions.

EDUCATION

Kennesaw State University

Master of Science, Software Engineering January 2024 – Present

Georgia State University

Bachelor of Science, Exercise Science August 2016 – December 2020

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