Roberto C.
Data Engineer

Skills

Python

Apache Hadoop

Docker Cloud

Hive

Mongodb

Spark

Google Bigquery

Roberto is available for hire

Hire Roberto C.

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Bio

With four years of experience in the data field, the candidate possesses expertise in Data Engineering and Analytics, emphasizing strategic initiatives and comprehending business rules to facilitate informed decision-making. The professional background encompasses roles both as a consultant and a direct employee, engaging consistently with SQL, Python, business intelligence tools, ETL processes, and handling large data processing using Spark in both on-premise and cloud environments. The candidate is proficient in French and English, with intermediate skills in Spanish and basic knowledge of Italian.

Analytics Engineer
9/1/2022 - Present

Assisted in maintaining and optimizing the Data Lake and Data Warehouse within an on-premise environment, alongside performing discovery for data architecture migration to AWS cloud. Managed data ingestion in the cluster and developed ETL processes to facilitate the provision of processed data for in-depth analyses across both SQL environments and BI tables. Gained extensive experience with tools including Python, Hadoop (Yarn, HDFS), Spark (PySpark), Hive, and Impala. Demonstrated proficiency in working with SQL Server, SAS Guide, and Tableau for data analysis and visualization. Utilized CRON for job scheduling, BitBucket for version control, and Docker for containerization to streamline development and deployment processes.
Analytics Engineer
9/1/2021 - 9/1/2022

Specialized in the creation and maintenance of procedures within a Google Cloud Platform (GCP) environment specifically for Extract, Transform, Load (ETL) data processes. Demonstrated expertise in orchestrating jobs using Apache Airflow, ensuring efficient and reliable workflow automation. Skilled in provisioning tables in a Data Warehouse to facilitate in-depth data analysis and leveraging Google Data Studio for delivering processed data in an accessible and visual format.
Data Analytics Intern
4/1/2020 - 6/1/2020

Developed proficiency in SQL and Python, and gained expertise in Qlik View for data analysis and visualization. Analyzed period and customer behavior within the healthcare sector, leading to insightful understanding of patterns and trends. Created dynamic dashboards and data visualizations to effectively communicate complex data insights to stakeholders.