17.02.2026 aktualisiert
100 % verfügbar
Data Engineer with Azure Cloud Expertise
München, Deutschland
Weltweit
Bachelor of Engineering (B.E.) - Computer Science and EngineeringÜber mich
As a Data Engineer skilled in designing and implementing scalable big data solutions within Azure environment and Azure Databricks using PySpark and Spark SQL.
Skills
Agile MethodologieData AnalysisArchitekturAutomatisierungMicrosoft AzureBig DataProzessoptimierungCloud ComputingDaasETLDatenmodellDatenqualitätDatenvisualisierungData WarehousingProjektplanung
Azure Data Services Architecture
Extensive experience in architecting and implementing big data solutions within Azure environments using Azure Data Factory, Azure Databricks, and Azure Data Lake Storage for end-to-end data pipeline management
ETL/ELT Pipeline Development
Proficient in designing and optimizing high-performance ETL processes for handling 700+ TB of data, focusing on efficiency and scalability with data modeling and cloud services optimization
Large-Scale Data Processing
Expertise in managing and optimizing large-scale data storage, processing, and transformation using PySpark, SQL, ADF, and Azure Data Lake with proven track record in improving data accuracy by 20%
Programming Languages
Python, SQL, PySpark, Shell Scripting for data processing and transformation tasks
Cloud and DevOps Tools
Microsoft Azure, Azure DevOps, Azure Databricks, Automation and Orchestration, CI/CD Pipelines, Infrastructure as Code
Data Visualization and Analytics
Data Visualization, Reporting Dashboards, Analytics Modeling, Data Insights Extraction, Performance Tuning, Optimization Techniques
Project Management
Cross-Functional Collaboration, Agile Methodologies, Project Planning and Execution, Stakeholder Management, Continuous Improvement
Database Management
SQL Database Management, Data Warehousing, Big Data Technologies with focus on system integrity and accuracy
Extensive experience in architecting and implementing big data solutions within Azure environments using Azure Data Factory, Azure Databricks, and Azure Data Lake Storage for end-to-end data pipeline management
ETL/ELT Pipeline Development
Proficient in designing and optimizing high-performance ETL processes for handling 700+ TB of data, focusing on efficiency and scalability with data modeling and cloud services optimization
Large-Scale Data Processing
Expertise in managing and optimizing large-scale data storage, processing, and transformation using PySpark, SQL, ADF, and Azure Data Lake with proven track record in improving data accuracy by 20%
Programming Languages
Python, SQL, PySpark, Shell Scripting for data processing and transformation tasks
Cloud and DevOps Tools
Microsoft Azure, Azure DevOps, Azure Databricks, Automation and Orchestration, CI/CD Pipelines, Infrastructure as Code
Data Visualization and Analytics
Data Visualization, Reporting Dashboards, Analytics Modeling, Data Insights Extraction, Performance Tuning, Optimization Techniques
Project Management
Cross-Functional Collaboration, Agile Methodologies, Project Planning and Execution, Stakeholder Management, Continuous Improvement
Database Management
SQL Database Management, Data Warehousing, Big Data Technologies with focus on system integrity and accuracy
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2026
Sprachen
DeutschgutEnglischverhandlungssicher
Projekthistorie
Promoted from Senior Analyst to Associate Consultant. Developed and implemented scalable data solutions for data processing and storage using Azure technologies. Worked with cross-functional teams to deliver data-driven projects on time, managing end-to-end release processes and monitoring production data objects for smooth transitions and data integrity.