16.10.2026 aktualisiert

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Data Engineer | Databricks | Azure | PySpark | ETL/ELT | AI

Aigaleo, Griechenland
Nur Remote
Master degree of Advanced Information Systems, University of Piraeus (October 2022 - July 2024)
Aigaleo, Griechenland
Nur Remote
Master degree of Advanced Information Systems, University of Piraeus (October 2022 - July 2024)

Profilanlagen

Emmanouil Zacharioudakis.pdf

Skills

Data ArchitectureETLData TransformationData WarehousingDatenbankentwicklungAzure Data LakeAzure Data FactoryApache SparkPySparkAzure Synapse AnalyticsDaten-PipelineDatabricks
Databricks & Apache Spark
Extensive hands-on experience with Databricks for building and optimizing data pipelines, writing PySpark code, managing CI/CD migrations, and working with Delta Tables across medallion architecture layers (Bronze, Silver, Gold).

ETL/ELT Pipeline Development
Design and implementation of robust ETL/ELT pipelines using Azure Data Factory and Databricks, enabling efficient ingestion and transformation of large-scale data from various sources including REST and SOAP APIs.

Python & PySpark
Development of scalable data processing solutions using Python and PySpark, applied in cloud environments such as IBM Cloud and Azure Synapse Analytics for large-scale data transformation workflows.

Azure Data Factory (ADF)
Engineering and optimization of ETL/ELT pipelines in Azure Data Factory, including parameterization and tuning of Azure DevOps pipelines for efficient data workflows.

Azure Synapse Analytics
Development and maintenance of data pipelines in Azure Synapse Analytics, ensuring consistency between development and production environments and supporting efficient data processing and transformation.

CI/CD & Azure DevOps
Daily interaction with Azure DevOps for version control, CI/CD workflows, shared repository collaboration using pull/push requests, rebases, merges, and conflict resolution.

SQL
Writing and optimizing SQL code within Databricks and Azure environments to manage data transformations and ensure data quality across pipelines.

Data Governance & Unity Catalog
Implementation and maintenance of Unity Catalog for centralized governance and data lineage across medallion architecture layers, ensuring reliable and compliant data management.

Qlik Tools (Qlik Replicate & Qlik Compose)
Specialization in ETL processes and migration of small and large tables using Qlik Replicate and Qlik Compose to Delta Lake in Databricks.

IBM Cloud
Design and implementation of cloud data platform infrastructure on IBM Cloud, including scalable data processing pipelines using PySpark and tools such as IBM Cloud Pak and IBM Watson.data.

Erfahrung

Berufserfahrung5 - 10 Jahre
Freelancer seit2025

Sprachen

Englishgut

Projekthistorie

Data Engineer

Self-Employed - Cloud Data Platform Implementation (IBM Cloud)
Designed and implemented pipelines and codebase on IBM Cloud, establishing foundational infrastructure where none previously existed. Developed robust, scalable data processing pipelines using PySpark to support large-scale data transformation. Took full ownership of the solution architecture and implementation, from initial design through deployment, ensuring reliable and maintainable data workflows within a cloud-based environment. Daily Tools: IBM Cloud Pak, IBM Watson.data.

Data Engineer

Self-Employed - Databricks CI/CD Migration
Working on project migrations, including CI/CD Databricks pipeline migrations from legacy Databricks CLI to the latest version. Daily interaction with Azure DevOps, collaborating on shared repositories using pull/push requests, rebases, merges, and conflict resolution. Daily Tools: Databricks, Databricks CLI, Azure DevOps.

Data Engineer

Bridgestone (Outsourcing from Cegeka)
Engineered and optimized ETL/ELT pipelines in Databricks and Azure Data Factory (ADF), enabling efficient ingestion and transformation of large-scale data. Implemented and maintained Unity Catalog for centralized governance and data lineage across medallion architecture layers (Bronze, Silver, Gold). Designed and maintained Slowly Changing Dimensions (SCD) Type 1 and Type 2 tables. Tuned and parameterized Azure DevOps pipelines. Daily Tools: Databricks, Azure Data Factory, Azure DevOps.

Data Engineer

PWC (Outsourcing from Witside)
Wrote and optimized PySpark and SQL code in Databricks within Azure DevOps Repos to manage version control and CI/CD workflows, ensuring consistency between Dev and Prod environments. Developed and maintained data pipelines in Azure Synapse Analytics for efficient data processing and transformation. Daily Tools: Databricks, Azure Synapse Analytics, Azure DevOps.

Data Engineer

Deloitte (Outsourcing from Witside)
Worked on ETL processes with Azure Data Factory. Extracted data from several endpoints like REST and SOAP APIs and databases. Transformed data with ADF activities and Databricks. Loaded data into Azure Synapse Analytics Dedicated SQL Pool. Daily interaction with Databricks, writing code using Python and PySpark. Daily Tools: Azure Data Factory, Databricks, Azure Synapse Analytics (Dedicated SQL Pool).

Data Engineer

WitSide
Worked on ETL processes, specializing in migration of small and large tables using Qlik tools (Qlik Replicate, Qlik Compose) to the Delta Lake (Databricks). Daily Tools: Qlik Replicate, Qlik Compose, Databricks.

Zertifikate

Databricks Generative AI Engineer Associate

Databricks

2026

Databricks Certified Data Engineer Professional

Databricks

2026

Databricks Associate Developer for Apache Spark

Databricks

2026

Microsoft Fabric Data Engineer Associate

Microsoft

2025

Qlik Replicate Certification

Qlik

2024

Databricks Certified Data Engineer Associate

Databricks

2024

Microsoft Certified: Azure Data Engineer Associate

Microsoft

2022


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