PySpark Experts in Frankfurt

Monika T.

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.

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

Alona L.

AI Architect

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

Anton R.

AI-Engineer

Last position:

AI-Engineer at Publicly traded company, industrial safety technology

Designed and implemented the agent-based AI architecture for a company-wide platform to securely deploy LLM-based agents
Designed and implemented end-to-end RAG pipelines from multiple sources: document preprocessing, chunking strategies for different document types, embeddings, retrieval with re-ranking, and robust prompt orchestration
Developed a modular context engineering framework with skill architecture, context isolation, and dynamic resource management; human-in-the-loop control for enterprise tool integrations
Built the CI/CD pipeline, testing strategy, tracing on the software side as well as automated LLM and agent evaluations, red team testing and tracing, and handed over to a reproducible production environment (ISO27001 and SOC2 compliant)

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.

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

Petru K.