1. Understanding the Requirements

• Collaborate with the stakeholders to capture key business objectives
• Develop data roadmaps, KPI frameworks, and system timelines
• Define clear goals aligned with business objectives

2. Data Infrastructure Audits and Modernization

• Conduct full audit of pipelines, storage and cloud architechture
• Identify bottlenecks, optimize xosts and upgrade
• Recommend and implement modern tools: data lakes, warehouses, ETL orchestration.

3. Data Analytics & Visualization

• Business Intelligence dashboards using Power BI and Tableau
• Custom KPIs, performance monitoring, and ad hoc reporting
• Data storytelling and executive-level reporting

4. Data Engineering & ETL Pipelines

• ETL/ELT pipeline development
• Data transformation and cleaning
• Workflows in Databricks, SQL, and cloud platforms
• Integration of multiple data sources (APIs, databases, flat files)

5. End-to-End Solutions

• Architecture design and deployment
• Data model optimization
• Automated data refresh and monitoring
• Custom solutions for industry-specific use cases