Snowflake Experts in Frankfurt

Florian Ripper

Principal, Program & Transformation Lead

Last position:

Global Programme Lead, Ecosystem Separation at Merck Group

Electronics – Surface Solutions | Carve-out of IT, data and system landscape*
Separation of a full business division's IT, data and system landscape following divestment; centrally governed investment envelope in the three-digit m€ range
Laboratory notebook and laboratory analytics platform stream: Palantir Foundry, Snowflake, Signals Notebook, Power BI and connected laboratory instrumentation; site transition completed without interruption to laboratory operations
Decision authority and escalation point for business, IT infrastructure, IT security and vendors; separation executed across globally distributed users and systems, handed over on schedule

Ali Aminian

Enterprise Software Architect | Cloud, Integration & AI Platforms

Last position:

Platform Engineer & Software Architect at Yatta GmbH

Architected the Yatta Integration Layer – a config-driven integration platform on Java 25, Spring Boot 4 (WebFlux), Temporal, gRPC and Kafka, enabling new third-party integrations (e.g. AVS fulfillment) via declarative JSON configs with zero code changes.
Designed and implemented Tink integration with 0Auth IBAN verification to enhance fraud prevention and account validation workflows with Adyen payByBank.
Architected and implemented an OpenFGA-based authorization model for centralized management of users, groups, and fine-grained access control in the vendor portal.
Architected and led delivery of the Yatta API Gateway platform using GraphQL Federation, providing a unified enterprise API layer across distributed microservices with centralized authentication, authorization and request orchestration.
Replaced NGINX + NLB with Istio service mesh and AWS ALB; rolled out WAF, OAuth (Cognito), IP whitelisting and RBAC across environments.
Migrated CDC from Confluent Cloud connectors to a self-hosted Kafka Connect + Debezium stack, reducing operational cost by ~80% across multiple environments.
Implemented the Transactional Outbox pattern with Debezium for reliable, exactly-once event publishing to Kafka with Avro and Schema Registry.
Migrated dunning/payment-recovery workflows from Airflow to Temporal, achieving 99.9% reliability for settlement handling.
Optimised Apache Airflow with deferrable sensors to handle 1000+ concurrent DAG runs without scaling the worker pool.
Refactored a monolithic Terraform codebase into 3 modular projects, cutting deployment time by ~45%.
Stood up full observability with OpenTelemetry, Tempo, Prometheus and Loki; automated dev/staging/prod with ArgoCD, Image Updater and Helm.
Collaborated with product, operations and engineering stakeholders to define scalable platform architecture and integration standards aligned with long-term business and operational goals.

Justina Kmiecik

Data Management & Governance Manager

Oberursel

Last position:

Freelance Consultant for Change & Data Transformation at Freelance Fast Data Consulting

Project, Strategic Consulting – building the Data Strategy and Data Governance Policy for the German branch, client (private bank Julius Bär, headquarters Zurich), March 2026 – present

Design and negotiation of the data strategy with key stakeholders, including obtaining board sign-off (strategic consulting) – in this context, regulatory advice on data regulations in the EU and specifically for Germany. The data strategy includes: Data Lifecycle Management: data capture, data storage, data usage, data retention policy, data quality incident management
Definition of milestones and technical feasibility for implementing TOM for the data strategy, data quality checks, metrics, and a metadata inventory to ensure the bank’s compliance with DORA, BCBS239, and MaRisk requirements.

Core project data change, client: (ING Bank, Frankfurt am Main), March – December 2025

Concept development and solution design for new end-to-end processes including technical interfaces
Definition of synchronization logic and data flows between legacy and target systems (decommissioning of legacy systems)
Analysis and validation of data models
Stakeholder communication with product owners, feature engineers, UX designers, and operational teams for decision-making
Analytics and impact assessments, e.g. to assess downstream effects and regulatory requirements
Documentation and comments on technical and business requirements to support implementation in agile squads

Project digitalization of a user group, client: (ING Bank, Frankfurt am Main), as Interim Product Owner, Jan 2025 – present

Co-shaping key decisions on data architecture and process logic in the context of historized data and user login functionality
Development of business solution concepts for migration to the target system, including system integration and data flows
Support with analytics and impact analyses, especially regarding the ability to provide information to law enforcement authorities
Active coordination with stakeholders from different squads to support decision-making and ensure regulatory requirements are met
Creation of test scenarios for operational teams and backend systems in the area of API management using Postman and Bruno.

Monika Thepale

Senior Technical Lead

Last position:

Senior ETL Lead at Takeda GmbH

Led design, development, and deployment of data solutions supporting a major pharma acquisition for Takeda Pharmaceutical Company, delivering transparency reporting systems across Azure,Databricks (Python and Shell Scripting) platforms.
Owned,Designed and developed scalable ELT pipelines to process Customer and Product data using Azure, complex SQL, Databricks, and shell scripting, enabling efficient data integration and processing across multiple sources including job orchestration and workflow automation.
Implemented performance optimization techniques (query tuning, parallelism, workload optimization), improving system efficiency and processing time.
Applied strong analytical and problem-solving skills to assess technical solutions and support business requirements for compliance and transparency reporting.
Designed scalable data foundations suitable for downstream analytics and AI workloads.
Led data quality initiatives by assessing multiple source data, defining quality metrics, and establishing processes for monitoring and continuous improvement.

Ulm Paunel

Freelance IT Specialist

Steinbach (Taunus)

Last position:

DataStage ETL Expert at ING Bank

Datastage 11.7, dbt, Oracle 19, Python 3.12 / PySpark 3.5, Azure GitHub, Azure DevOps, Automic
Development of migration jobs to transfer data from the collection DWH to the new Risk Mart, as well as development of ETL pipelines to migrate historical data from the old Mart to the new Risk Mart.
Storage of the silver layer on Hadoop and the gold layer in Oracle.
Translation of DataStage jobs into dbt to publish reporting data in Google Cloud to a PostgreSQL database.
Creation and optimization of complex SQL queries for data extraction from a data vault, taking into account historical data in the point-in-time tables.
Creation of Oracle table definitions (DDL) and adjustment of existing stored procedures.
Versioning changes in GitHub and deployment via the CI/CD portal.
Refactoring long-running DataStage jobs into Python using PySpark to reduce server load.
Migration of SAS scripts to PL/SQL, including new development of distribution functions that have no direct equivalent in Oracle.
Development of Automic jobs to run DataStage pipelines and Python scripts (PySpark jobs) that control the population of the SME and institutional risk tables in the Risk Mart and perform business calculations.
Participation in the agile process, including creating user stories, estimations, and planning in Azure DevOps.
Handling Azure DevOps tickets and close collaboration with testers and business teams for error analysis and resolution.

Ashkan Zadeh

Microsoft Azure Senior Data Engineer / Senior Data Scientist

Kelkheim (Taunus)

Last position:

Microsoft Azure Senior Data Engineer / Senior Data Scientist at Vattenfall Europe

Advising on the use of analytics and BI tools and services in the Microsoft Azure stack (e.g. MS Fabric, Synapse Workspaces and dedicated SQL pools, SQL Database, PostgreSQL, Snowflake, Databricks, Data Factory, SSIS, Analysis Services, Function Apps, Power BI, ML)
Independently designing analytics solutions with Python, SQL, etc.
Designing and implementing ETLs and data pipelines
Creating and maintaining APIs
Independently applying CI/CD, testing, and version control
Data modeling
Model development and optimization
Anomaly detection with AI
Predictive analytics

Used technologies:

Snowflake
Fabric
Azure Synapse Analytics
Azure DataFactory
Azure Data Lake
Azure DevOps
Databricks
Spark
CI/CD
SQL Database
Python
Power Platform

Kamran Virk

Agile Delivery Manager

Last position:

Agile Delivery Manager at Sparecodes Incorporation

Highly successful role as lead data analytics expert at a US consulting startup.
Managed stakeholder expectations by ensuring team delivery velocity using Agile and Lean practices.
Trained and assembled international offshore data science teams of DevOps engineers, BI developers, and technical support specialists.
As Sparecodes' data analytics experts, we improved our clients’ business outcomes through requirements management, dashboard and report development, migration, automation, and production support using IBM Cognos, AWS, SAP, Oracle, Teradata, CRM, ERP, Confluence, and Microsoft.
Provided effective coaching and mentoring for international, multicultural teams in a remote environment, covering new tools and techniques, Agile best practices, internal and external communication, and presentation skills.
Coordinated technical processes efficiently, including managing and implementing project changes and control processes.
Promoted strong team engagement and supported employees’ career development, including business change management through coaching.
Enhanced project status reports by providing insights into team productivity, predictability, and backlog burn-down, leading to improved project outcomes.
Successfully led the coordination and implementation of software solutions for clients in mechanical engineering, including automation system integration and customization to meet client needs.

Kabir Khaleque

AI Engineer / Banking IT Specialist

Last position:

AI Engineer / Banking IT Specialist at Hamburg Commercial Bank (HCOB) & Real Estate Firm

Developed a retrieval-augmented generation (RAG) application using LangChain and LangGraph for corporate document parsing, delivered as an installable Electron desktop application with local AI models via Ollama.
Currently providing ongoing AI feature support for the Loan Pricing Tool at Hamburg Commercial Bank, with a commitment of three days per month.
Architected Kubernetes-native solutions, including Helm chart configuration and Azure DevOps pipeline integration.

Helge Bredow

Enterprise/Solution Architect

Last position:

Solution Architect at Deutsche Bahn

Responsible for the end-to-end application and integration architecture of the Hamburg S-Bahn maintenance digitization program. A highlight is the introduction of robots and fixed camera towers to automate vehicle inspections, allowing AI image algorithms to assess train conditions during operation.
Deutsche Bahn has one of the largest SAP PM implementations worldwide, which is a key component of this digitization.

Eduard Van Kleef

Workshop Leader 'Introduction to AI Development Tools'

Last position:

Workshop Leader 'Introduction to AI Development Tools' at Software company in Wiesbaden

Presentation introducing generic AI and large language models
Explanation of legal frameworks (EU AI Act, US CLOUD Act, GDPR)
Systematic review of AI tools along the SDLC and holistic systems
Comparison of on-prem LLMs vs. cloud-based, as well as change management and works council
Facilitated the discussion and derived next steps for introducing AI development tools

Leonard Hußke

Freelance Software Engineer & Cloud Architect

Last position:

Freelance Software Engineer & Cloud Architect at Leonard Hußke - IT Solutions

Evaluation of potential providers (Snowflake vs Databricks) and design of the analytics data platform using Databricks
Data storage and ingestion layer with Amazon S3
Creation of ETL processes and data transformations with AWS Glue and Databricks Notebooks
Orchestration with AWS Glue Workflow, Databricks Workflow and Databricks DLT
Processing of unstructured data including text, image and video
Databricks workspace setup and administration
Setting up a medallion architecture to ensure data quality
Evaluation of possible BI tools (Power BI, AWS QuickSight, Tableau)
Establishing MLOps using MLflow
Introducing data governance and data lineage using Unity Catalog

Roman Krivtsov

Senior Data Engineer / Cloud Architect

Last position:

Senior Data Engineer / Cloud Architect at DB Systel

Development of a central billing app for cloud costs at DB
AWS
Python
AWS CDK
RDS
Spark (PySpark)
Glue
Lambda
CI/CD (GitLab)
React/Typescript
data optimization
Scrum

Ritika Solanki

Services Solution Architect

Last position:

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Global marketing analytics for Hitachi Energy as part of a global data modernization initiative aiming to enhance data retention, historical data availability and provide Eloqua's 2-year retention for remote interaction reporting and analytics.
Analyzed Eloqua's default retention policy and identified risk of data loss for records older than two years.
Designed and implemented historical data preservation strategy by creating transformed tables in the target data platform to archive older data while ensuring data quality dashboards.
Collaborated with the Power BI team to re-point dashboards from raw Eloqua imports to the newly created archival layer.
Leveraged Jira to track and manage data engineering tasks, bugs, and feature requests across Agile sprints; coordinated backlog prioritization and task assignment to align data pipeline development with business needs.
Power BI dashboard optimization:
Worked closely with business stakeholders to assess and understand reporting needs for reverse customer data.
Designed and implemented incremental refresh in Power BI to ensure daily updates without full data reloads.
Collaborated with Azure data engineers to optimize data processing and publication pipelines.
Stakeholder communication & data modeling:
Acted as liaison between Group Data Office and Technology Office to align data modelling standards.
Gathered requirements from data engineering team and participated in weekly status meetings to provide implementation updates and resolve blockers across teams in Germany, Poland, and India.
Documentation & quality assurance:
Prepared end-to-end technical design documentation, data flow diagrams, and Power BI audit guides for future reference.
Participated in UAT sessions with business users to validate data outputs and report accuracy.

Markus Groh

Data Solution Architect, Founder

Rödermark

Last position:

Data Solution Architect, Founder at GRITCON GmbH

Design and development of modern cloud DWH & data platforms
Data Vault automation
Implementation of ELT and CI/CD processes
Requirements analysis and data modeling
Building an automated cloud data platform as a reference architecture for financial risk controlling (Snowflake, Data Vault, DBT, Python, GitHub) 2024-10-01 – 2025-06-30, Zurich
DWH further development, operations and cloud migration (Data Vault, DBT, SAP Data Services, Alteryx, SQL Server, Azure Synapse) 2023-03-01 – 2025-06-30, Frankfurt
Implementation of a global cloud data platform (Data Vault, WhereScape, Snowflake, AWS, Scrum) 2021-04-01 – 2023-12-31, Cologne
Proof of concept for a global cloud data platform (Data Vault, Snowflake, Synapse, WhereScape, Azure, Scrum) 2022-04-01 – 2022-07-31, Bonn
Implementation of a cloud data platform (Data Vault, Snowflake, WhereScape, AWS) 2021-07-01 – 2022-04-30, Karlsruhe
Big data integration of all source systems related to the ITSM process (Data Vault, Snowflake, WhereScape, AWS, Scrum) 2021-01-01 – 2021-05-31, Prague
Development and operation of a global self-service BI platform to display around 150 corporate KPIs (Data Vault, WhereScape, Postgres, Jenkins, Talend, AWS, Scrum) 2018-11-01 – 2020-12-31, Frankfurt
Implementation of a DWH for price management and capacity forecasting in long-distance passenger transport (SAP BODS, SQL Server, AWS) 2017-10-01 – 2018-11-30, Frankfurt
Introduction of SAP BODS and migration of the existing DWH (SAP, BODS, HANA, Oracle, Cognos) 2017-05-01 – 2017-10-31, Rastatt

Peka Carmel

Data Warehouse Project for a Zoo