Satish Parvathaneni
Power BI Architect | Lead Tableau Developer |Power BI |Qlikview |QuickSight| SQL | Python| Windows | Linux| AWS Cloud| Azure|AI|GenAI/Agentic AI| LLM
- Role
- Data Engineer at Analog Devices
- Location
- San Diego, CA, US
- LinkedIn followers
- 500 followers
About Satish Parvathaneni
Business Intelligence Architect | 18+ Years of Expertise Transforming Data into Strategic Insights Across Industries.Business Intelligence Architect with a proven track record of designing and delivering enterprise-scale BI solutions for global leaders in Banking, Insurance, Automotive, Healthcare, Utilities, Securities, and beyond. Adept at bridging business needs with technical innovation, leveraging cross-platform expertise to build self-service analytics environments, data-driven dashboards, and scalable reporting ecosystems that empower organizations to make informed decisions.Core Expertise & TechnologiesAI, GenAI/Agentic AIRelational SQL databasesDevOps and continuous integrationMicrosoft Fabric, Databricks/SnowflakeGitHubBI & Visualization Tools: Tableau, Power BI, QlikView, SAP Business Objects, Crystal Reports, Amazon QuickSight.Advanced Analytics & AI: Dataiku, Python (Data Analysis, Automation), R (Statistical Modeling).Cloud & Data Engineering: Snowflake, AWS (Redshift, S3, EC2), SQL Server, SSRS, ETL/ELT Pipelines.Conflict Mitigation: Resolving stakeholder disagreements through clear communication and strategic problem-solving.Adaptability: Excelling in dynamic environments by rapidly adjusting to changing technologies, industries, and priorities.End-to-End Solution Design: Requirements Analysis, Data Modeling, Dashboard Architecture, Deployment, User Training.Process Optimization: Identifying and implementing efficiencies that streamline workflows and maximize productivity.Full Lifecycle Ownership: From requirements gathering and data modeling to deployment, governance, and end-user enablement.
Experience
Data Engineer
Jan 2025 — Present · US
Education
Jawaharlal Nehru Technological University
B.tech, Computer Science Engineering
2001 — 2005
Skills
- Data Warehousing
- Business Objects
- Oracle
- Etl
- Data Modeling
- Requirements Analysis
- Sql
- Business Intelligence
- Pl/Sql
- Crystal Reports
- Sdlc
- Microsoft Sql Server
- Solution Architecture
- Ssis
- Ssrs
- Data Warehouse Architecture
- Pre-Sales
- Dashboard
- Integration
- Sharepoint
- Sap Bi
- Business Intelligence Tools
- Business Analysis
- Software Project Management
- Agile Methodologies
- Tableau
- Software Development Life Cycle (Sdlc)
- Managment
- Data Analysis
- Stratgey
- Analytical Skills
- High Analytical Skills
- Project Management
- Analytics
- Qlikview Development
- Financial Reporting
- Sap Businessobjects
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