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I'm @torres-federico-e Data engineer with a passion for data projects, now working with AWS Cloud System Architecture in order to build more scalable data systems and processes for businesses.

I've had a broad experience working with different data products and data systems, from working with Machine Learning Sales and Churn Models , to building Geo-data processing pipelines for the Telco industry, to building custom analytic reports and Dashbords as part of Data Analytics teams.

Currently Data engineering work processing data, building data processing pipelines and reports, data quality programs with Python-SQL on the Cloud:

• Cloud Data Engineer; AWS infrastructure, processes and pipelines design on the Cloud (Salesforce).
• Data scientist/Data Pipeline engineer; Telecommunications (Telefonica-Movistar).
• Data Analyst; report and BI dashboard building (Buenos Aires Government).

Currently diving into personal development projects, some open source collaborations to contribute to the community and hone my skills. Keep in touch through Linkedin and Github to know more !

Efficient and reliable Data processes and data product development on the Cloud.

• AWS Cloud
• Python Development
• ETL's or ELT's scalable processes; with native PySpark or AWS Glue ecosystem
• SQL transformation Pipelines (Databases: Postgres, Redshift, Hive SQL)
• Geographic analytics; Distributed GIS Hadoop data processes
• Data visualization with Python for Engineering/DataScience; Matplotlib, Seaborn, Plotly
• Data visualization with Bussiness Intelligence layer; Power-Bi, Tableau, Microstrategy
• Automated Testing based on historical data statistics and deviations
• Statistical analysis
• Machine learning modeling and assesment
• Cloud platform knowledge: AWS

• Python; numpy, pandas, scikitlearn, seaborn, matplotlib,
• Pyspark dsitributed pipelines
• Hadoop / Hive
• Datawarehouse: Redshift, PostgreSQL, SQLserver
• Git version control
• AWS Cloud Infrastructure; Boto3 automations

If you're interested in connecting with me feel free to reach out via LinkedIn

Thanks for stopping by!