I'm @torres-federico-e Data Developer 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 broad experience working with different data teams and projects, from Machine Learning Sales and Churn Models, to building Geo-data processing pipelines for the Telcecommunications industry, or custom analytic reports and Dashbords as part of Data Analytics and Data Engineering team both at Telefonica and Salesforce.

Currently Data engineering role at Salesforce. Big Data processing, building scalable Cloud data pipelnes, data products, and data quality controls with Python, SQL and AWS stack 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).

Diving into personal project development. Keep in touch through Linkedin and Github to know more !

Efficient and Reliable Data pipeline processesing and some Infrastructure control on the Cloud.

• Python Development
• ETL's or ELT's scalable processes; with native PySpark on EMR or within AWS Glue.
• 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!