Snowflake Experts in Frankfurt

Florian R.

Principal, Enterprise Transformation & Strategy Execution

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 across cloud, on-premises and connected laboratory systems; 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; SharePoint and JIRA; 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 and handed over on schedule, avoiding a contractual penalty for the client

Ali A.

Enterprise Software Architect | Payments, Cloud & AI Platforms

Last position:

Founder & Architect at Independent AI R&D

Fully on-premises LLM document-examination platform for a compliance-critical banking domain: agentic LangGraph pipeline with deterministic verification, every AI judgment structured and source-anchored; ~960 automated tests, zero data egress
GPU throughput engineering (quantized serving, speculative decoding, prefix caching): 9.5x extraction speed-up, 500+ multi-document case files per day on a single A100
AI-native EDI/EDIFACT integration platform (~116k LOC Java 25 / Spring Boot 4, 1,900+ tests): LLM-drafted partner mappings machine-verified before go-live (DFDL conformance, field-coverage checks, dry runs), ~99.5% byte match on real customer files — replacing weeks of manual mapping per partner

Bardiya B.

Data Scientist & Machine Learning Engineer

Last position:

Data Scientist at Rewe Digital GmbH

Statistical Forecasting Algorithm

Improvement of an statistical probabilistic forecasting algorithm for sales + evaluation
Migration from R/On-premise to Python/Snowflake
Productionalization on Snowflake in cooperation with data engineers & DevOps

Monitoring Dashboard

Data engineering for preparation & provisioning of necessary data/resources on Snowflake
Development & deployment of a Streamlit dashboard in Snowflake

ML-based Probabilistic Forecasting on Vertex AI

Development of a ML-based probabilistic forecasting algorithm from scratch
Implementation of MLOps pipeline in Kubeflow on Google Cloud Vertex AI

Tech Stack: Python, Snowflake/Snowpark, R, Streamlit, Gitlab/Gitlab CICD, Terraform, Google Cloud, Vertex AI (aiplatform SDK, gcloud CLI, feature store, model registry, etc), kubeflow

Helge B.

Enterprise/Solution Architect

Last position:

Solution Architect at Deutsche Bahn

Responsible for the end-to-end application and integration architecture for the S-Bahn Hamburg maintenance digitalisation program. A highlight is the introduction of robots and permanently installed camera gates to automate vehicle inspections, allowing AI image algorithms to assess the condition of trains during operation.
Deutsche Bahn has one of the largest SAP PM implementations in the world, which is a central component of this digitalisation.

Justina K.

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.

Eduard V.

A.I. from Coding to Strategy

Last position:

Lead of workshop “Introduction to AI Development Tools” at Software company in Wiesbaden

Presentation introducing generic A.I. and Large Language Models
Explanation of legal frameworks (EU AI Act, US CLOUD Act, DSGVO)
Systematic review of AI tools along the SDLC and holistic systems
Comparison of on-prem LLMs vs. cloud-based solutions, as well as change management and works council considerations
Moderation of the discussion and definition of next steps for introducing AI development tools

Ulm P.

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 Z.

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 V.

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.

Roman K.

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 S.

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 G.

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

Leonard H.

Freelance Software Engineer & Cloud Architect