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Eddie Flores

About Me

I thrive on solving problems and streamlining processes. My natural drive to connect the dots lets me see roadblocks as opportunities to experiment. And that's when I’m at my best, when I can dig in and figure things out, especially if it involves learning something new.

I am currently pursuing an M.S. in Data Science at Regis University, specializing in Data Engineering. I apply my coursework in Big Data Architecture, Data Wrangling, and Data Collection and Preparation directly to my work as a Data Analyst at Spectrum.

I am actively bridging the gap between analysis and engineering by building and automating ETL pipelines using Python, SQL, Snowflake, Redshift, and S3. This work focuses on eliminating manual reporting workflows and significantly improving data delivery turnaround times within production environments.

Professional Experience

Data Analyst

Spectrum (Feb 2025 - Present)

  • Engineered modular Python ingestion pipelines extracting data from Snowflake and the web via SQLAlchemy and Selenium.
  • Designed and implemented a layered data lake architecture on S3 (raw / staging / processed), replacing ad-hoc file storage with an intentional ingestion pattern aligned to modern ELT workflows.
  • Packaged Python data tooling as structured, reusable modules with centralized error handling, and structured logging.
  • Replaced manual batch file and PowerShell scheduling with a Python-based orchestration layer.
  • Maintained all code in GIT workflow with automated UAT deployment hook on merge and manual promotion to production.

Business Planning & Analysis Manager

Spectrum (Oct 2018 - July 2024)

  • Led a data initiative to consolidate and model key expense metrics across source systems, improving decision-making speed by 30% and contributing to $3.2M in annual operational cost reductions.
  • Built and maintained Tableau dashboards surfacing operational expense trends that directly informed $500K in annual savings.
  • Engineered ETL pipelines to automate expense tracking workflows, achieving a 40% improvement in report generation efficiency while maintaining data accuracy end-to-end.
  • Automated overtime and work-hours reporting by replacing manual processes with scheduled Python pipelines feeding Tableau dashboards enabling data-driven workforce decisions that reduced overtime costs by 15%.

Business Intelligence Analyst

Bright House Networks (Aug 2014 - Oct 2018)

  • Automated data extraction pipelines in Python and SQL, increasing analytics throughput by 40% and enabling self-service reporting for business stakeholders.
  • Reduced report production errors by 50% by designing and implementing data validation protocols across SQL transformation layers, enforcing data quality checks at the pipeline level before data reached reporting surfaces.
  • Led cross-functional requirements gathering to translate business needs into pipeline and data model specifications.
  • Built predictive models to forecast delinquency trends, enabling targeted interventions that reduced bad debt by $40M/yr.

Web Developer/Database Adminisrator

Bright House Networks (Mar 2011 - Aug 2014)

  • Authored SQL-driven trend analysis and customer segmentation pipelines against multiple source systems, improving customer communication workflows and increasing cash flow by $4.3M.
  • Built automated ingestion pipelines in Python and SQL to consolidate data from multiple source systems into a unified data model, eliminating manual data entry and improving downstream reporting accuracy.
  • Developed a full-stack application integrating automated data pipelines to track technician performance and field activity metrics, contributing to an $8.5M increase in annual cash flow.

Education

MS, Data Science (Enrolled)

Regis University

  • Machine Learning

  • Python

  • Generative AI

  • LLM

  • NLP

  • Tableau

  • SQL

  • Pandas

  • NumPy

  • Hadoop

  • Spark

MBA, Information Security

Saint Leo University

  • Analysis

  • Data Management

  • Visualization

  • Data Mining

  • ETL

  • KPIs

  • Management

  • Leadership

BS, Computer Information Systems

Saint Leo University

  • HTML

  • JavaScript

  • SQL

  • DBMS

  • C++

  • Systems Analysis

  • Networking

  • Security

  • Operating Systems

Certificates

Data Science with SQL and Tableau

Cornell University

  • SQL

  • Tableau

  • Data Cleansing

  • DBMS

  • Iteration

  • Data Wrangling

  • Data Analysis

  • User Stories

Google Data Analytics Professional Certificate

Coursera

  • Data Analysis

  • Data Visualization

  • SQL

  • Tableau

  • Rstudio

  • Data Collection

  • Spreadsheets

  • Data Integrity

Lean Six Sigma Yellow Belt

COPC Inc

  • Data Collection

  • Data Analysis

  • Root Cause Analysis

  • Process Mapping

  • Lean Principles

  • Team Dynamics