Joshua Savitski

About Joshua Savitski

Senior leader for Data & Analytics teams and solutions covering Integrations, ETL/ELT, Data Modeling, Data Governance, Data Science and Advanced Analytics. Passionate regarding sound architecture and strategic vision. Focused on collaboration between Business Units, Developers, and IT partners to provide innovative and cost-effective solutions.Skills:21 years of analytical problem solving 19 years of leadership in work environments17 years of Business Intelligence, Analytics, and Reporting14 years Enterprise Data Warehousing11 years architecture experience (Data, BI, Systems, Disaster Recovery)7 years Big Data implementations10 years Retail, 8 years Health/Managed Care, and 5 years Manufacturing experienceAgile software developmentCloud, on-prem, and hybrid architecture, deployments, and solutionsCost Management of platforms, programs and teamsSpecialties: Leadership, Strategy, Architecture, Platform and Application Roadmaps (2-5 year), Total Cost of Operations (TCOs), Business Continuity Planning (BCP) including Disaster Recovery (DR), Contract and Vendor Negotiations, Mentoring, Database and Applications Administration, Analytics, SQL and Database Development, Data Modeling, ETL, Database Design, Systems Analysis and Support, Agile Transformation, Citizen Developer and Data Science Enablement

Experience

1. Head of Data & Analytics

   Advanced Drainage Systems, Inc.

   Sep 2021 — Present · OH, US

   Leadership of Data & Analytics team (spanning Data Engineering, Advanced Analytics, Data Science, Data Governance), responsible for the architecture, build, deploy, operations and maintenance of Analytics systems including Microsoft Power BI and Modern Data Platform (MDP) based upon Microsoft Azure ecosystem. Responsible for multi-year roadmaps (1-2, 2-4 and 4+ years specifically) and Total Cost of Ownership (TCO) for Data & Analytics people, platforms, processes and tools. Provided guidance to Business and IT partners on system and solution architecture. Responsible for the design, architecture and evangelization of Data Lakehouse, including citizen developer and citizen data scientist enablement. Providing architectural guidance to greater IT teams and business on Machine Learning (ML), Artificial Intelligence (AI), Robotic Process Automation (RPA), cloud strategies, and integration patterns. Management of a mixed team of data scientists, developers and analysts, associates and contractors. Drove team to develop process monitoring and alerting while enabling more per-formant delivery of key executive reporting. Prioritization and planning of work portfolio, which consisted of CapEx, OpEx, Ad-hoc and technical debt.

Education

• Otterbein University

  B.A., Physics

  1998 — 2003

Skills

• Data Warehousing
• Database Design
• Etl
• Crystal Reports
• Business Intelligence
• Business Analysis
• Microsoft Sql Server
• Oracle
• Sql
• Systems Analysis
• Agile Methodologies
• Scrum
• T-Sql
• Netezza
• Agile
• Test Driven Development
• Obiee
• Cognos
• Linux
• Unix Shell Scripting
• Erwin
• Sdlc
• Sas
• Microstrategy
• Toad Data Modeler
• Aix
• Data Modeling
• Databases
• Analytics
• Database Administration
• .net
• Software Development Life Cycle (Sdlc)
• Extract, Transform, Load (Etl)
• System Architecture
• Leadership
• Project Management
• Hadoop
• Sql Server Reporting Services (Ssrs)
• Oracle Sql Developer
• Sharepoint