11.09.2026 aktualisiert
100 % verfügbar
Data Engineer & Product Advisor
Berlim, Deutschland
Nur Remote
Bachelor in Statistics and Data Science, University of Sao Paulo (USP)Skills
APIsApache AirflowData AnalysisBusiness Intelligence DevelopmentBig DataGoogle BigQueryData IntegrationData TransformationData MigrationPostgreSQLSQLWorkflowsAWS LambdaBackendPySpark
Data Engineering & Pipeline Development
Expertise in building and maintaining scalable data pipelines using Apache Airflow, ETL/ELT processes, and data modeling. Migration of pipelines from PostgreSQL to ClickHouse and integration with AWS Lambda for improved scalability and automation.
Programming & Backend Development
Strong proficiency in Python, SQL, and PySpark for data processing and analytics. Backend development using FastAPI and REST APIs, including JWT authentication and integration with relational data models.
Cloud Platforms & Databases
Hands-on experience with AWS and GCP cloud environments. Proficient in working with PostgreSQL, ClickHouse, and BigQuery for analytical and operational workloads.
Analytics & Business Intelligence
Development of interactive dashboards and data reports using Metabase, Looker, and Tableau to support data-driven decision-making and monitor business performance metrics.
Data Modeling & Architecture
Design of relational data models and data workflows for longitudinal user data, with a focus on future analytics, pattern detection, and personalized insights.
Version Control & Development Tools
Proficient use of Git and GitHub for version control, collaborative development, and managing code repositories in team environments.
Machine Learning & Data Analysis
Collaboration on performance metrics and machine learning models for logistics route optimization. Exploratory data analysis generating actionable insights using Python and SQL.
Data Quality & API Concepts
Application of data quality standards and API design principles to ensure reliable, maintainable, and scalable data systems.
Expertise in building and maintaining scalable data pipelines using Apache Airflow, ETL/ELT processes, and data modeling. Migration of pipelines from PostgreSQL to ClickHouse and integration with AWS Lambda for improved scalability and automation.
Programming & Backend Development
Strong proficiency in Python, SQL, and PySpark for data processing and analytics. Backend development using FastAPI and REST APIs, including JWT authentication and integration with relational data models.
Cloud Platforms & Databases
Hands-on experience with AWS and GCP cloud environments. Proficient in working with PostgreSQL, ClickHouse, and BigQuery for analytical and operational workloads.
Analytics & Business Intelligence
Development of interactive dashboards and data reports using Metabase, Looker, and Tableau to support data-driven decision-making and monitor business performance metrics.
Data Modeling & Architecture
Design of relational data models and data workflows for longitudinal user data, with a focus on future analytics, pattern detection, and personalized insights.
Version Control & Development Tools
Proficient use of Git and GitHub for version control, collaborative development, and managing code repositories in team environments.
Machine Learning & Data Analysis
Collaboration on performance metrics and machine learning models for logistics route optimization. Exploratory data analysis generating actionable insights using Python and SQL.
Data Quality & API Concepts
Application of data quality standards and API design principles to ensure reliable, maintainable, and scalable data systems.
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2026
Sprachen
DeutschGrundkenntnisseEnglischverhandlungssicherPortugiesischMuttersprache
Projekthistorie
Leading the technical development of an early-stage data-driven platform, translating product and business requirements into scalable technical solutions. Coordinating a small technical team, architecting the platform using Python, FastAPI, PostgreSQL, React, REST APIs, and JWT authentication. Designing relational data models and workflows for longitudinal user data with analytics and pattern detection in mind.
Migrated local data pipelines to AWS Lambda improving scalability and automation. Migrated pipelines from PostgreSQL to ClickHouse for high availability and cost efficiency. Designed and developed ETL pipelines using Apache Airflow. Developed interactive dashboards and data reports using Metabase and Python with Embedded Analytics.
Performed exploratory data analysis and generated actionable insights using Python and SQL. Developed interactive dashboards using Looker to monitor business and operational performance metrics. Collaborated on machine learning models for logistics route optimization. Built and maintained databases supporting logistics teams and supply chain management.