Nitish Jillundra

• Payments Transaction Banking Team: Analyzed real-time payment transaction data using the Prognosis tool to identify trends, optimize system performance, and support decision-making.
• Developed and maintained SSRS reports using complex SQL queries, combining data modeling expertise with stakeholder collaboration to deliver tailored BI solutions.
• Created advanced SQL-based views and supported KPI dashboards/visualizations in Power BI & Power BI Service to drive business insights.
• Designed an enterprise-level Power BI data model using Dataflows to ensure scalability, consistency, and performance.
• Contributed to data architecture design, including Azure Data Factory (ADF) setup and implementation of the Databricks Medallion Layer architecture.
• Built and managed PySpark/Python Data Frames from Parquet files, SQL tables, and Delta tables for aggregation and join operations.
• Led the migration of ETL workflows from Synapse database to Databricks, resulting in improved performance and simplified maintenance.
• Integrated PowerApps with Power BI to allow end-users to track order statuses and required actions, improving visibility and user experience.
• Worked in Agile environments using Kanban and Scrum frameworks, with a strong focus on DevOps practices and collaboration.
• Actively participated in CI/CD processes to manage code versioning, merging, and deployment pipelines.
  
  Key Achievements: Optimized reporting workflows and reduced Azure cloud costs by efficiently leveraging Power BI and Azure services.

• Led a team of 6 to deliver end-to-end analytics solutions in collaboration with data scientists, business process owners, and IT stakeholders.
• Built scalable data pipelines and dashboards using Azure and Power BI to drive strategic business decisions.
• Designed complex SQL views and models to support high-impact reports and dashboards.
• Partnered with the Data Steward team to integrate business glossary metadata from Collibra into Power BI, enhancing data governance and transparency.
• Created optimized views in Databricks to support efficient business reporting from large datasets.
• Served as the Technical System Owner for Power BI, managing system architecture, governance, upgrades, and performance optimization.
• Executed system upgrades with thorough risk mitigation planning to ensure zero business disruption.
• Delivered projects in Agile (SCRUM/Kanban) environments while managing CI/CD workflows and DevOps practices.

Key Achievements:

• Successfully led the enterprise-wide Power BI rollout with full project ownership.
• Improved data governance by integrating Collibra metadata into Power BI, fostering greater data trust across the organization.

• Developed comprehensive technical implementation plans for cloud adoption across multiple projects in the telecommunication, logistics, and consulting industries, aligning architecture with business goals.
• Implemented and tested APIs for process integration and data validation using PL/SQL and Postman, ensuring seamless data flow between systems and enhancing process efficiency.

• Led BI implementation initiatives, delivering cost-effective, automated solutions for monthly data reporting processes.
• Developed self-service BI tools using Python, MS SQL, and Power BI, enabling stakeholders to access insights independently.
• Collaborated closely with business units to gather requirements, prioritize needs, and implement scalable analytics systems aligned with organizational goals.

Key Achievements:

• Reduced monthly reporting time for Finance & Asset Management by over 90% through automation and dashboarding.
• Successfully transitioned the organization from paper/Excel-based reporting to fully digital dashboards, improving data accessibility and decision-making.

• Assisted clients in selecting the most suitable BI tools (Power BI, Qlik) by creating tailored proofs of concept (POCs) demonstrating real-world value.
• Acted as the go-to expert for the sales and pre-sales teams, providing strategic support and technical guidance on BI-related queries and client demos.
• Built and maintained strong client relationships, managed expectations, and led discovery sessions to understand business problems and analytics needs.
• Conducted detailed business analysis and solution design through continuous client engagement and feedback.

Key Achievement:

• Successfully converted multiple POCs into full-scale project orders, directly contributing to new business growth for the company.

• Utilized Alteryx (ETL), Power BI, and Qlik to transform and visualize client-generated reports for data analysis and trend discovery.
• Analyzed existing business processes to identify risks and gaps, recommending and implementing solutions to mitigate risks and enhance efficiency.
• Delivered hands-on training sessions for clients, empowering them to manage and maintain their own BI environments and reports (self-service enablement).

Key Achievement:

• Enabled internal audit teams to efficiently analyze non-normalized client data, significantly improving accuracy and speed of audits.

• Managed end-to-end BI project responsibilities including requirement gathering, dashboard development, bespoke solution design, Qlik server administration, user acceptance testing (UAT), and training delivery (Designer & Developer levels).
• Developed Sales & Marketing dashboards using Qlik and Tableau, transforming raw data into actionable insights for business growth.
• Engaged with stakeholders to gather requirements, estimate timelines, and ensure timely, high-quality project delivery.

Key Achievement:

• Awarded Employee of the Quarter, based on client nomination, in recognition of outstanding project contribution and stakeholder satisfaction.

Key Achievement:

• Developed automated billing approval workflows, reducing manual effort by 60–80%, improving operational efficiency and accuracy.