Microsoft Power Automate Experts in Munich

• Developed & maintained customer analytical reporting solutions to identify revenue trends, performance drivers, risks & optimization opportunities to ensure data driven decision making across Sales, Finance, Product, Data Engineering & Controlling.
• Defined & analyzed customer trends & performance metrics to identify root causes behind variances, anomalies & emerging risks across business domains to deliver actionable recommendations.
• Developed & owned analytical data models & reporting layers to ensure scalability, performance & analytical robustness to support executive & operational reporting across business domains.
• Planned, tracked & executed projects by ensuring adherence to timelines, data accuracy, consistency, deliverables, reliability & data quality standards through rigorous validation & reconciliation processes.
• Raised the analytical maturity by formalizing analytical workflows, documenting data processes & standard operating procedures (SOPs) & conducting training sessions to drive adoption of self-service analytics & embed a data driven culture across operational and business teams.
• Took ownership of the end-to-end lifecycle roadmap from requirement gathering, collection, transformation, developing robust business logics to data storytelling & stakeholder delivery.
• Converted complexity into structured clarity by translating requirements & business processes into analytical recommendations to ensure alignment between non-technical & technical stakeholders.
• Conducted advanced SQL based analysis of complex business datasets to uncover trends, correlations & performance improvement opportunities.
• Drove process automation & efficiency improvements by leveraging Python, SQL optimization & AI assisted tools to reduce processing time & increase reliability across analytical & operational workflows.
• Standardized KPI definitions & reporting logic to ensure consistency & trust across reporting solutions.
• Developed process monitoring dashboards & analyses to identify inefficiencies, bottlenecks & compliance deviations across end-to-end business processes to derive actionable recommendations for process improvement & automation.

• Built and maintained Power BI dashboards (DAX, Power Query, data modeling) tracking KPIs across 15+ global manufacturing sites — primary reporting tool for EU leadership decision-making.
• Developed a multi-screen Power Apps application (configurator-style tool) with SharePoint-based workflow integration for the sales team — designed jointly with business stakeholders and IT.
• Built and maintained automated Power Automate workflows connecting to SQL databases; independently identified and deployed an LLM-driven automation use case that eliminated 90% of manual reporting effort — self-pitched to leadership and taken end-to-end into production.
• Built a Python-based data pipeline (SQL) extracting, modeling, and validating data across 10+ EU plants — establishing reliable data models and KPIs for cross-site reporting.

• Support end-to-end innovation lifecycle, from technology scouting and use case development to incubation and implementation of digital, automation, and AI solutions.
• Designed and implemented process automation solutions using Power Automate, Mendix, and Power Apps to digitalize internal workflows and reduce manual effort.
• Prototyped AI-based agents to automate internal processes and explore efficiency gains in IT operations.
• Developed Power BI dashboards to provide leadership with clear visibility into strategic KPIs and operational performance.

• Responsibility for daily HR operations across 4 studios in Germany, focusing on personnel administration and the employee lifecycle
• Drafting, reviewing, and managing all employment law documents (employment contracts, contract amendments, certificates, references)
• Preparing payroll, especially for hourly wage models, including data preparation and coordination
• Maintaining and managing timekeeping data in the system (Gfos) and ensuring data quality
• Proactively managing and tracking personnel-related deadlines (e.g., probation periods, fixed-term contracts, evaluations) in close coordination with studio managers
• Acting as the central point of contact and reminder for managers on all HR-related topics and processes
• Structuring and tracking HR processes while ensuring completeness and compliance of all documents
• Creating and maintaining HR documents, reports, and overviews in Word and Excel

• Implemented portfolio management for small and medium projects with Planner Premium
• Developed organizational and technical standards for project management
• Automated processes with Power Automate
• Developed a Power Apps platform (interface between MS Dynamics and Planner Premium)
• Created comprehensive reporting with Power BI and MS Loop
• Area: PMO

• Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
• Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
• Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
• Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
• Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)

• Operations and extensions of Azure DevOps pipelines

• Operations and extensions of AWS services

• Citrix (Windows 10, Bitwarden)

• AWS: ECR, EKS, CloudFront CDN, Route 53, VPC peering and CNI upgrade, Atlas MongoDB, S3 buckets, static website hosting

• Azure: build and deploy with DevOps pipelines

• Business analysis and process optimization, including specifying business requirements and technical design
• Interface analysis (REST API, SOAP) and process optimization
• Process optimization with RPA, Power Automate, Microsoft Fabric, Power Automate Cloud, and Power BI
• Development of Power Apps for a point-of-sale platform using Power Automate and MS Fabric/Power BI to replace various tools
• Automation and replacement of manual maintenance of Excel spreadsheets and manual processes

• Agile setup of a multimodal analysis platform for training materials (video, audio, documents) using Scrum
• Extraction of context-relevant content based on user profiles & competency dimensions
• Personalized delivery of learning content to boost sales performance
• Close coordination with sales teams & stakeholders to validate features
• Use of Gemini, Whisper, Python & JavaScript, deployment on AWS, Perl for scripting data imports
• Integration into existing tools & CRM systems for smooth adoption
• Technologies used: Python, OpenAI, DB tech like PostgreSQL, CI/CD for Airflow DAGs, FastAPI

• Creation of the profit center report and statistical key figures report
• Gathering and analyzing requirements regarding the forecast for revenue and costs
• Implementation of various time series analyses and optimization of predictions
• SAP process knowledge, SQL, Python
• Python with various libraries for time series analysis and machine learning

As part of an in-house development project, a pipeline for automated lead generation was created as the second stage of a preceding system for project monitoring. Based on a list of freelance project URLs (freelancermap), qualified lead records are generated, including company, contact person, official and personal email address, and the appropriate form of address (informal/formal). The technologies used were Python (openpyxl, requests) as well as an LLM agent workflow in VS Code (GitHub Copilot Chat) with a custom slash command and extensive rule set; search APIs (Serper.dev) are connected for research. My tasks included the full concept and development. The core is a rule set of around 480 lines that guides the LLM agent deterministically through extraction, website and email lookup, duplicate matching (against existing provider lists), and the creation of a structured JSON output. Deterministic steps (Excel matching, web/email search, pattern derivation) were moved into Python helper scripts. Other requirements included validating the results through versioned blind runs against a reference, iterative refinement of the rule set, and a swappable search provider layer for cost and stability reasons.