Data Quality Experts in Berlin

• Designed and developed AI-powered document processing solutions using Python, OCR, NLP, and Large Language Models (LLMs) to automate extraction, validation, and classification of financial documents, reducing processing time by 75%.
• Built intelligent multi-stage workflow automation pipelines integrating AI services, machine learning models, and enterprise systems to streamline financial operations and improve data quality.
• Developed reusable AI-driven transformation frameworks capable of processing structured and unstructured document formats (XML, CSV, JSON, TXT, DAT) and normalizing them into unified business schemas.
• Designed and developed Python-based REST APIs and backend services supporting enterprise finance applications and high-volume data processing workloads.
• Built scalable data synchronization pipelines between Oracle CFIN and SQL databases, incorporating machine learning models for cash-flow forecasting and AP/AR anomaly detection.
• Architected and deployed Apache Airflow workflows to orchestrate AI-powered data pipelines, automating end-to-end processing from document ingestion through financial system integration.
• Led the migration of critical enterprise integrations from MuleSoft to Python-based services, improving maintainability, performance, and operational flexibility while preserving complete data integrity.
• Managed the full API lifecycle including solution design, implementation, documentation, deployment, monitoring, and production support for mission-critical financial systems.
• Collaborated directly with finance stakeholders to identify business challenges, define solution requirements, and deliver measurable operational improvements through automation and AI-driven workflows.
• Worked closely with cross-functional engineering and business teams to rapidly iterate on features, improve processes, and drive successful adoption of AI-enabled solutions.
• Provided technical leadership through architecture reviews, technology decisions, code reviews, and engineering best practices across integration and automation initiatives.
• Mentored developers, established coding standards, and contributed to improving software quality, maintainability, and delivery effectiveness across projects.
• Provided production support during critical month-end and quarter-close financial processes, performing root-cause analysis and implementing rapid fixes to ensure system reliability and data accuracy.

Specialize in turning complex data from diverse environments into actionable business value through compelling visual storytelling. I am an expert in generating actionable insights and presenting recommendations to business stakeholders. My technical proficiency in SQL, Python, and leading data visualization tools like Tableau and Power BI allows me to deliver a new generation of self-service tools and analytics services.

• Data Visualization & Storytelling: Created impactful data visualizations and dashboards in Tableau and Power BI, effectively communicating findings and presenting actionable recommendations to C-suite stakeholders and business leaders.
• Stakeholder Management: Built effective working relationships with key business stakeholders, data engineers, and other partners to achieve common data-driven goals and targets.
• Insights & Recommendations: Generated actionable insights from complex data analysis for funnel conversion, marketing performance, and ROI, directly influencing business performance and strategy.
• Data Collaboration & Empowerment: Worked closely with cross-functional teams to support the ongoing data needs of internal partners, helping to optimize internal data processes and workflows.
• BI & Data Expertise: Applied extensive experience in data modeling, data collection, data mining, and analysis to deliver end-to-end analytical solutions from stakeholder discovery to production.

• Led development of 15+ microservices (Java 17, Spring Boot) driving customer interactions; migrated from on-prem to GCP Kubernetes, improving scalability and reducing infra cost by 20%.
• Optimized user services with CouchDB caching and API refactoring, cutting response times by 35% and enhancing customer experience.
• Implemented canary deployments, FluxCD GitOps, and CI/CD optimizations in GitLab, reducing release lead time by 25% and enabling zero-downtime rollouts.
• Set up Grafana health checks and Anodot alerts for latency, error, and throughput monitoring, reducing MTTR by 40%.
• Built secure APIs using OAuth2, DPoP, and Gatekeeper, integrated REST and GraphQL, and achieved 90%+ test coverage with unit and E2E tests.
• Mentored junior developers, promoted Agile best practices, and collaborated cross-functionally to deliver high-impact, reliable customer-facing features.

Tasks: Design and operation of end-to-end cloud data platforms for enterprise clients in publishing and finance, including infrastructure automation, pipeline development, monitoring, and data quality.

Activities:

• Built multi-layer data architectures on Databricks (Apache Spark, Delta Lake), BigQuery, and GCP
• Fully automated cloud infrastructure with Terraform across 3 environments (DEV/STG/PRD)
• Developed automated data pipelines with Python, dbt, and GCP services for different data sources
• Built monitoring and alerting systems for real-time platform monitoring
• Implemented data versioning and quality checks at every layer
• Designed automated test and deployment pipelines in GitLab and Bitbucket

Achievements:

• 2× production data processing capacity, reduced spike response time from minutes to ≤15 s, server errors ≈ 0
• Replaced 3,000 lines of manual configuration with a reusable automation module for 7 customer domains, configuration errors to 0
• Delivered a complete end-to-end data platform at ~€10/month infrastructure cost
• Migrated 7 database tables with 0 downstream issues
• Removed 100% exposed credentials, eliminated external vendor dependency
• Delivered integration of 3 teams in 1 sprint

• Designed and implemented scalable ETL/ELT pipelines using Python, SQL, dbt, AWS and Informatica to ingest data from sources such as APIs, relational databases, and flat files into Snowflake, reducing pipeline runtime by ~30%.
• Migrated high-volume datasets from on-premises Teradata to Snowflake using AWS services (S3, Glue, Step Functions, IAM), ensuring data consistency and integrity.
• Applied Kimball methodology to design star and snowflake schemas, improving query performance and reducing Snowflake compute costs.
• Implemented automated data quality checks using SQL-based dbt tests and the Great Expectations framework to detect anomalies and enforce data correctness before production loads.
• Orchestrated ETL workflows in Airflow using Python and managed code deployments via Git with CI/CD best practices to increase deployment reliability and maintain pipeline uptime.
• Built interactive Power BI dashboards and curated datasets to enable data-driven decision-making for stakeholders.
• Maintained technical documentation in Confluence for ETL workflows, and led knowledge-sharing sessions for new joiners.

• International expansion & segment strategy: Built Germany footprint from zero, scaling to 1,000+ SaaS customers across four European markets, developing vertical value propositions, use cases, and segmentation models
• Planning, OKRs & single source of truth: Designed forecasting frameworks, pipeline diagnostics, territory/quota structures for a 30+ FTE commercial org, and established OKR-driven execution with shared dashboards and decision logs
• Operational excellence, automation & regulated delivery: Applied Lean Six Sigma methods and implemented automation and AI tooling across CRM and reporting, simplifying end-to-end workflows and reducing manual effort by ~25%
• Growth enablement & CX: Owned cross-functional growth experiments that increased activation by 30% and DAUs by 10% in a hybrid PLG + enterprise model
• Change management & cross-functional execution: Set KPI agreements with shared services, championed internal change programs, and drove adoption of new operating rhythms and tooling
• Risk management & portfolio steering: Established risk-aware customer prioritization and partnered with risk and finance teams on portfolio steering and resource allocation

• Led executive search projects for senior international hires in Engineering, Product, and Business.
• Supported the firm's pan-European expansion at their Amsterdam HQ as well as their newly established Madrid and Frankfurt offices.
• Conducted market research and delivered location-specific employer branding strategies.
• Advised on organizational design, culture, and transformation initiatives.

• Developing methods for monocular 3D facial reconstruction and personalized geometric modelling from mobile imagery
• Building learning-based approaches for facial shape estimation, video-based facial analysis, and privacy-preserving visual learning

• Crypto quant strategy development, automated trade execution, onchain data client (Ethereum / Solana)
• Data and trade architecture development for liquidity provision

Key achievements:

• Successfully implemented an HRIS system, streamlining document creation, HR administration, and payroll/performance data management, reducing processing time by 30% and improving data accuracy.
• Designed and rolled out a unified benefits system across multiple European locations, ensuring alignment with local regulations and company-wide policies, enhancing employee satisfaction and reducing administrative overhead.
• Leading the rollout and adoption of UKG HRIS across two countries, aligning payroll, admin, and performance data management.
• Overseeing HR operations for 160 employees across 3 EU locations within the DACH region.
• Leading a team of 5 specialists in Recruitment & HR Administration.
• Driving strategic initiatives to standardize and optimize internal HR policies across multiple European sites.
• Leading impactful HR initiatives to strengthen talent development, boost retention, and elevate employer brand presence.
• Providing expert guidance on ER cases and labor law compliance to mitigate risks and uphold workplace integrity.

• Assessment of the existing reporting landscape and strategic bundling of needs
• Migration and consolidation of reports to Metabase, connected to ClickHouse as the data foundation
• Building and maintaining data pipelines

Stack: Metabase · ClickHouse · Appsmith · Airflow

• Overall responsibility for the concept, setup, and further development of the digital learning modules of the afileon Learning Academy
• Strategic management of all social media channels – from content strategy to target group-specific implementation
• Trusted right hand to management in operational and company-wide initiatives
• End-to-end event management for seminars, workshops, and company events – from concept to performance review
• Central interface between management, specialist departments, clients, and external partners

• Rapidly operationalized measurement frameworks and insight generation to evaluate go-to-market initiatives, directly influencing regional planning and investment decisions within the first 60 days.
• Led complex attribution and incrementality analyses to quantify campaign impact, identifying key trends that drove improvements in user adoption and engagement.
• Partnered with product and marketing leadership to translate complex behavioral data into prioritized OKRs and clear strategic narratives.