I seek for an innovative environment, with a high-quality results oriented mindset.
Valentino Muchino
@valentinomuchino
Mid Data Engineer - Azure & Databricks Certified
What I'm looking for
As a Data Engineer with strong skills in Python, SQL, Azure and Databricks, I am passionate about working as a team to develop innovative and scalable data solutions that can make a difference.
For me, continuous learning and professional growth are essential. I am always looking for new opportunities to learn and improve my skills.
I am an assertive and ambitious person who always seeks to challenge himself to achieve the best results in each project in which I participate.
Experience
Work history, roles, and key accomplishments
Mid Data Engineer
Svitla Systems, Inc.
Feb 2024 - Present (1 year 6 months)
As a Mid Data Engineer, I enhanced SQL data pipelines, developed a Python-based automated email pipeline, and migrated data systems to Azure Databricks, improving scalability and data management. I also architected a robust data warehouse using the medallion architecture.
Data Engineer
PwC
May 2023 - Feb 2024 (9 months)
At PwC, I developed Python applications for stock market analysis, integrated APIs, and created simplified views of complex data on Databricks. I also engineered data pipelines for automated resume management using Apache Airflow.
Data Scientist - Data Engineer
Taligent
Mar 2023 - May 2023 (2 months)
In my role at Taligent, I improved a machine learning model's accuracy by 34.3% for real estate predictions and conducted business analyses for top clients. I also implemented security measures against DDoS attacks using AWS.
Education
Degrees, certifications, and relevant coursework
Databricks
Databricks Certified Data Engineer Associate, Data Engineering
2025 - 2026
Microsoft
Microsoft Certified: Azure Data Engineer Associate, Data Engineering
2024 - 2026
Henry Bootcamp
Data Science / Engineering and Analytics
2022 - 2023
Completed a comprehensive program in Data Science and Engineering, focusing on analytics, machine learning, and data manipulation techniques.
Universidad Nacional de San Juan
Computer Science
2021 -
Tech stack
Software and tools used professionally
Amazon Redshift
Azure Synapse
Apache Spark
AWS Glue
Amazon EC2
Microsoft Azure
Google Cloud Platform
Amazon S3
GitHub
NumPy
Pandas
DB
MySQL
PostgreSQL
Microsoft SQL Server
SQLite
Gmail
Google Drive
Google Analytics
Databricks
Azure Stack
Azure DevOps
Python
scikit-learn
Streamlit
FastAPI
Amazon DynamoDB
SQLAlchemy
Serverless
Amazon RDS
Azure SQL Database
pytest
SendGrid
Git
Docker
s3-lambda
Amazon Web Services (AWS)
SQL
Azure Cosmos DB
Azure Blob Storage
Availability
Location
Authorized to work in
Portfolio
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