Amit Pishe
Driving Revenue, Architecture & CXO Transformation across Data, AI, Security, Cloud & Automation
- Role
- Technical Principal - Atl Portfolio at IBM
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Amit Pishe
A passionate individual with ~ 20+ years of professional work experience. One who places a high value on learning curve and technical excellence. Currently working in IBM India Software Labs as \'Technical Principal-Portfolio\'.Portfolio-level Technical Principal driving enterprise data, AI, security, and automation platforms; enabling scalable, secure, and revenue-impacting digital transformation.Adept at Technology and program Management, driving and deploying complex programs. Experienced in streamlining Processes. Designed and implemented Frameworks for Business innovation. Worked on projects covering the Data Spectrum (Databases, Data Architecture, Data Management, ETL/DW, Big Data, BI, Data Visualization, and Data Analytics).Technical Blogs on Medium- https://amit-pishe.medium.com/https://medium.com/me/stories/public||Skills:||- Data Platform - Product solutioning |- Data Consulting: Presales, Mind-mapping, Proposals, PoC, Solutioning, Frameworks|- Data Visualization: Design UI/UX, Wireframes, User journey, Consultative approach, KPI and Persona | Interactive dashboard development (Python, D3.JS), Design (UI/UX), Agile/SDLC |- Data Engineering: Data pipelines, Orchestration, Ingestion, Transformation, data modernization- Cloud - Azure (ADLS, ADF, SQL DW, Monitoring), Logic Apps, AWS (S3, redshift, Glue)- Data Science: Visual Analytics, Machine Learning, Model deployments, Insights, and Data Analytics |- Business Intelligence: MS Power Bi, Gramex, QlikView, Tableau. Dashboards & Reporting|- Program Management: delivered complex engagements & and critical deployment projects |- Data Management: Leading Enterprise-wide initiatives |- People Management: Driven large teams to achieve organization goals|- Technical Delivery Management- Technical Sales: New business development||Previous Employers & roles||> Impelsys: Data Solution Architect - Data & Insights |> Maveric Systems: Sr. Manager - Data & Insights |> Gramener Technologies: Sr. Manager - Data Sciences |> AIG Data Analytics & Technology Solutions: Business Unit - PM |> IBM: Data Management Specialist |> Maples ESM: Systems Programmer |> Infosys: Software Engineer |
Experience
Technical Principal - Atl Portfolio
Jan 2026 — Present · Bengaluru, IN
Portfolio-level Technical Principal driving enterprise data, AI, security, and automation platforms; enabling scalable, secure, and revenue-impacting digital transformation.In this role as a Trusted Client Advisor, I’ll be focusing on shaping end-to-end technology strategy and architecture across complex client portfolios (Enterprise, Public Sector). Driving large transformation programs and aligning IBM platforms and Data solutions with business outcomes.
Education
Indian Statistical Institute, Kolkata
PGDM, Business Analytics
2014 — 2015
Visvesvaraya Technological University
Bachelor of Engineering (B.E.), Electrical and Electronics Engineering
1999 — 2003
Indian School of Business
General Management Programme for Asia, Business Administration and Management, General
2018 — 2019
NUS Business School
General Management Programme for Asia, Business Administration, Management and Operations
2019 — 2019
Skills
- Transition Management
- Software Development Life Cycle (Sdlc)
- Java
- Etl Tools
- Databases
- Business Analytics
- Wiki Development
- Etl
- Performance Tuning
- Pre-Sales
- Data Visualization
- Ibm Db2
- Management Consulting
- Data Analytics
- Db2
- Coaching & Mentoring
- Sdlc
- Solution Architecture
- Itil Process Implementation
- Oracle
- Data Mining
- Requirements Analysis
- Html Mark Down
- Power Bi
- Wikispaces
- Program Management
- Db2 Systems Programming
- Mainframe Architecture
- Infrastructure Capacity Planning
- Data Warehousing
- Sql
- Vendor Management
- Itil
- Outsourcing Management
- Service Delivery
- Business Analysis
- Business Intelligence
- Proposal Writing
- Machine Learning
- Team Management
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