Bhanu Chandan

Microsoft-certified Business Intelligence Developer (PL-300) with 7+ years of experience designing, building and operating BI dashboards, KPI reports and semantic data models on Microsoft Power BI. Proven track record of translating business requirements into target-group-oriented Power BI reports, datasets and cubes for sales, inventory, financial and operational stakeholders. Strong programming background in SQL, Python and DAX combined with hands-on experience in data modelling, performance tuning, end-user training and incident management.

Works in agile SCRUM teams with Data Engineers, Tech Leads and Product Owners; comfortable refining user stories, owning KPI definitions and ensuring stable BI operations. Fluent in English (C1+) with Basic German.

BI Developer & IT Solutions Specialist | Product Owner at DF Druckluft-Fachhandel GmbH (Atlas Copco Group) (2025-01 – Present)

• Conceptualised, implemented and continuously developed Power BI dashboards and reports for sales, inventory, finance and operational KPIs, delivered to executive screens and daily management routines across the company.
• Defined, coordinated and implemented business KPIs in Power BI reports, datasets and tabular models in collaboration with controlling, sales and operations stakeholders — establishing a single, governed source of truth across JTL ERP, Greyhound CRM, Shopware and Azure data sources.
• Worked in an agile SCRUM environment with Data Engineers, the Tech Lead and the Product Owner on data modelling, user-story refinement and sprint delivery; took on Product Owner responsibility for the Azure Resource Group.
• Optimised Power BI performance: redesigned star-schema models, tuned DAX measures, applied aggregations and incremental refresh, reducing report load times by up to ~60% and improving end-user experience.
• Ensured stable operation of BI tools: monitored dataset refreshes, on-premises gateways and Azure Data Factory pipelines; implemented alerting, retry logic and incident-management runbooks, reducing manual intervention by ~80%.
• Designed and delivered end-user training sessions and self-service Power BI documentation for business teams, increasing report adoption and reducing recurring support requests.
• Conducted ad-hoc analyses and evaluations for management — cohort segmentation, margin analysis, chi-square significance testing and campaign lift — translating findings into clear, decision-ready narratives.
• Built a modular SQL transformation layer on Databricks (Medallion: Bronze → Silver → Gold) using PySpark and Delta Lake, feeding the Power BI semantic layer with millions of records from multiple enterprise systems.
• Delivered an AI-powered invoice-extraction pipeline (Azure Document Intelligence + GPT-4o) that resolved a live Intrastat/Destatis compliance incident and removed approximately €20k/year of manual controlling effort.
• Applied FinOps practices as Azure Product Owner, achieving €6,000–€8,000/year in cloud-cost savings while maintaining BI platform availability and performance.

Business Analyst | Power BI & Data Specialist at ANEST IWATA Europe GmbH (2022-02 – 2024-12)

• Led the integration of SAP Business One (HANA) with Microsoft Power BI, delivering a centralised reporting layer for sales, inventory and management KPIs across European operations.
• Designed star-schema data models and built advanced DAX measures supporting inventory min/max optimisation, sales trend analysis and management dashboards — improving reporting accuracy and decision speed.
• Defined KPIs jointly with business stakeholders, translating requirements into Power BI datasets and target-group-oriented reports for executive, sales and operations audiences.
• Automated recurring reporting and operational workflows using Power Automate and PowerApps, reducing manual processing time by approximately 60%.
• Executed a full master-data migration from a legacy ERP to SAP Business One with zero disruption to live operations, ensuring data integrity for downstream Power BI reporting.
• Delivered end-user Power BI training and documentation to non-technical business users, increasing self-service adoption across European subsidiaries.
• Presented analytical findings and recommendations directly to senior management, improving data literacy and enabling faster strategic decisions.

IT Engineer — Database & Analytics at Tata Consultancy Services (2017-03 – 2021-08)

Client: Deutsche Bank

• Developed and optimised complex SQL queries supporting data analysis and reporting for Deutsche Bank's core banking operations across compliance, risk and operations teams.
• Implemented data visualisation solutions and automated reporting pipelines, improving data accessibility for business and operations stakeholders.
• Performance-tuned production databases and provided Level-2 operations and incident management support — strong grounding in operational data reliability and monitoring.
• Conducted internal workshops to upskill team members in SQL, data analysis and visualisation tooling.

M.Sc. in Software Engineering & Management – Heilbronn University of Applied Sciences (2021-09 – 2023-08)

B.E. in Electronics & Instrumentation Engineering – Siddaganga Institute of Technology (2012-07 – 2016-08)