Apache Hadoop Experts in Frankfurt

Prasad T.

Solution Architect / Senior Manager – DTC E-Commerce Platform

Last position:

Solution Architect / Senior Manager – DTC E-Commerce Platform at BRITA

Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka

Umut G.

Freelancer

Last position:

Data Architect at BA Technology

I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.

I delivered following projects and engagements as a freelancer.

Data Migration of CRM System for AL-FA Objekt Service Gmbh
Microsoft Software Resales Partnership

I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer

Technical Focus Areas

Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.

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

Alona L.

AI Architect

Frankfurt am Main

Last position:

AI Architect

AI-powered platform for automated UX validation and designer support

Designed and led technical implementation of an enterprise-wide AI solution for automated UX review that improved design quality and significantly reduced manual review processes in teams
Developed an automated UX validation tool as a Figma plugin and web application that generates test cases based on internal guidelines and reliably checks current designs for consistency and standard compliance
Implemented an interactive designer chat based on RAG that answers questions about the current design and the company's UX guidelines, and designed the deployment architecture using containerized services
Python, Azure OpenAI, PostgreSQL, REST API, Docker, OpenShift, Helm, CI/CD, Figma MCP, LLM, RAG, Prompt Engineering, GenAI, XAI, AI Architecture, AI Strategy

Tan P.

DevOps & Fullstack Engineer

Hanau

Last position:

DevOps Engineer in the DevOps Team at Rise-World

Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
Use of Scrum and Kanban methods.
Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
Development of new plugins and add-ons needed on current infrastructure.
Database support.
Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
Automated system provisioning and deployment using CloudFormation templates.
Configuration of IAM roles, policies and permissions to ensure secure access control.
Patch management, backup automation and disaster recovery setup on AWS infrastructure.
Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
Configuration of AWS CloudWatch to monitor application performance and system events.
Planning and execution of migration of on-premises applications to AWS cloud platforms.
Deployment of containerized applications using Docker and Kubernetes in AWS environments.
Deployment of internal software packages between availability zones using AWS CodeDeploy.
Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.

Yevgeniy Ö.

Business & Data Analyst

Bad Vilbel

Last position:

Tester, Test & Data Analyst at NORD/LB

Analyze system requirements and mapping concepts (ETL requirements) for data flows and transformation logic in the bank's DWH
Analyze data in DB tables and views of the DWH using SQL (DB2)
Independently define, create, and execute test cases in JIRA Xray (SIT)
Write SQL queries in DB2 to verify data scenarios and mappings
Create test plans for SAP FSDP and concurrent projects
Conduct error and root cause analyses in coordination with business analysts, developers, test managers, and the infrastructure team
Thoroughly document test results in JIRA Xray
Coordinate between business analysis, development, DB infrastructure, business units, and external vendors

Ritika S.

Services Solution Architect

Last position:

AWmOpsRtKekEX(CPEliRenIEtN: CInEfoSrs.yDs,aHtaitAarcchhiiEtencetr(gAyW) S)

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.

Ahsan J.

Data Analytics Developer