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Work Background
Senior Data Engineer
SolstenSenior Data Engineer
Jun. 2022 - Dec. 2025Senior Data Engineer with extensive experience in designing and managing ETL pipelines and data infrastructures to support machine learning models in customer psychology. Proficient in Python, Google Cloud Platform (GCS, BigQuery, Pub/Sub), Airflow, and Data Observability best practices, with a strong focus on event-driven design and scalable data solutions. Responsibilities: - Designed, developed, and maintained ETL pipelines to support ML engineers in assessing customer profiles, ensuring data quality and availability for analytics. - Utilized Python and Pandas for advanced data transformation and preprocessing tasks. - Managed data workflows and orchestration using Apache Airflow. - Worked extensively with Google Cloud Storage (GCS) and BigQuery for scalable data storage and querying of large datasets. - Applied data observability best practices to monitor pipeline health, detect anomalies, and ensure data reliability. - Collaborated closely with data scientists and analysts to tailor data solutions that enhance customer psychology insights.
Data Engineer
Sense8 Digital TechnologyData Engineer
Aug. 2021 - Dec. 2022Bucharest, RomaniaProvide data solutions to our collaborators and clients based on Google Cloud Platform and Microsoft Azure. - responsible with the design, build and deploy of the data processing system - collaborate closely with data analysts in order to ensure data quality - provide PoC for different data solutions Some of the tools and methodologies used: Google BigQuery, Dataproc, Azure Synapse, Databricks, Azure SQL pool, Google Functions, Python, AppScript, Scrum, etc
Data Engineer
Cognizant SoftvisionData Engineer
Apr. 2011 - Aug. 2021Cluj-NapocaData Engineer responsible for ETL processes used by one of our clients. As main responsibilities: ▪ collaborate with business and process owners to understand business issues ▪ create and maintain optimal data pipeline architecture ▪ perform quality tests on ingested data Solutions and tools used: Azure Data Lake Storage, Databricks, PySpark, Airflow, Python, SQL, Talend Other ETL related projects: EDW on Azure Cloud SQL for a US based financial company. Important features implemented: ▪ the ETL process using Airflow, Python and SQL ▪ connectors to multiple data sources (FTP, MSSQL, MongoDB, CosmosDB, SalesForce, GA, 3rd party APIs, web scraping) in Python ▪ ODS implementation based on Azure Data Lake data ▪ data cleansing for Data Science Team using Python and Pandas ▪ perform unit & integration tests ETL for online clothing store using GCS and Google BigQuery ▪ worked closed with Product and Mobile team to get needed metrics ▪ create BigQuery jobs for custom data exporting ▪ create BigQuery scripts for ad-hoc data reporting ▪ handle unstructured data ▪ data cleansing and export to a 3rd party system Other responsibilities: ▪ peer code review, project guidance, mentoring, technology related presentation
Progress Developer
YonderProgress Developer
May. 2006 - Apr. 2011Cluj-NapocaDevelopment and maintenance of a tour operator application, for the biggest independent tour operator from Netherlands. Involved on the Financial, Travel Documents and Reservations modules. Technologies used: OpenEdge ABL 10.2B, IMO Framework, JIRA, XML, UML, Model-driven architecture. Development and maintenance of a leasing application for one of leading European provider of mission critical enterprise software solutions for the automotive market. Technologies used: OpenEdge ABL, Perforce, XML, Web Services. Other projects where I was involved: - waste management software - wood management application - financial software
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