12.03.2026 aktualisiert
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Experienced Data Engineer with expertise in ETL, Cloud Technologies, and Database Management
München, Deutschland
Weltweit
Bachelor of Engineering in Electronics and InstrumentationSkills
Apache AirflowAmazon Web ServicesData AnalysisAtlassian ConfluenceAtlassian JiraAutomatisierungMicrosoft AzureBig DataCloud ComputingComputerprogrammierungDatenbankenDaasData IntegrationETLDatenmanagement
ETL and Data Pipeline Development
Expertise in designing and implementing ETL processes using various tools like SSIS, Azure Data Factory, Databricks, and Airflow. Proficient in optimizing data pipelines for improved efficiency and performance.
Database Management and SQL
Strong knowledge of database systems including Oracle, SQL Server, and PostgreSQL. Skilled in writing complex SQL queries, optimizing database performance, and managing large-scale distributed databases.
Cloud Technologies
Proficient in working with cloud platforms such as Azure and AWS. Experience in using cloud-based data services like Azure Data Factory, Snowflake, and implementing cloud-based architectures.
Programming and Scripting
Proficiency in Python for data analysis, ETL processes, and automation. Experience with SAS for data integration and reporting.
Data Visualization
Skills in creating data visualizations using tools like Power BI and Looker for effective data analysis and reporting.
Big Data Technologies
Experience working with big data technologies and frameworks such as Hadoop and processing large volumes of data efficiently.
Project and Data Management Tools
Familiarity with Atlassian stack (Jira, Confluence), Git, GitHub, and Trello for project management and version control.
Expertise in designing and implementing ETL processes using various tools like SSIS, Azure Data Factory, Databricks, and Airflow. Proficient in optimizing data pipelines for improved efficiency and performance.
Database Management and SQL
Strong knowledge of database systems including Oracle, SQL Server, and PostgreSQL. Skilled in writing complex SQL queries, optimizing database performance, and managing large-scale distributed databases.
Cloud Technologies
Proficient in working with cloud platforms such as Azure and AWS. Experience in using cloud-based data services like Azure Data Factory, Snowflake, and implementing cloud-based architectures.
Programming and Scripting
Proficiency in Python for data analysis, ETL processes, and automation. Experience with SAS for data integration and reporting.
Data Visualization
Skills in creating data visualizations using tools like Power BI and Looker for effective data analysis and reporting.
Big Data Technologies
Experience working with big data technologies and frameworks such as Hadoop and processing large volumes of data efficiently.
Project and Data Management Tools
Familiarity with Atlassian stack (Jira, Confluence), Git, GitHub, and Trello for project management and version control.
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2024
Sprachen
DeutschgutEnglischverhandlungssicherTeluguMuttersprache
Projekthistorie
Managing ETL pipelines, optimizing SQL queries, and improving data engineering processes. Collaborating with data engineer teams and working on POCs for data warehouse optimization.
Developed and maintained ETL using Databricks, Snowflake, and Azure. Implemented scalable data pipelines and optimized Power BI reports. Led a team in migrating legacy systems to cloud-based architecture.
Designed ETL processes, collaborated with software development teams, and managed large-scale distributed databases. Developed ETL jobs using SAS and created reports in SAS WRS.
Zertifikate
Azure Fundamentals certification (AZ-900)
Microsoft2022
Azure Data Fundamentals certification (DP-900)
Microsoft2022
Certified in 1Z0-051 Oracle Database 11g: SQL Fundamentals
Oracle2014