Data Engineer Power Bi

CHRIS EDWARD TUSCANO

+1-817-***-**** ****************@*****.*** LinkedIn GitHub

PROFESSIONAL SUMMARY

Data Engineer with over two years of experience in designing and optimizing ETL pipelines, leveraging Python, SQL, and cloud platforms to process large-scale datasets with high accuracy. Proficient in building real-time data processing systems and creating actionable analytics dashboards using Tableau and Power BI. PROFESSIONAL EXPERIENCE

Data Engineer Wells Fargo – USA January 2025 – Present

• Designed scalable ETL pipelines using Python, Pandas, and Snowflake, processing 2M+ records daily for real-time analytics.

• Optimized data workflows with Apache Airflow, reducing data latency by 35% for enterprise reporting systems.

• Developed interactive dashboards in Tableau, enabling 20% faster decision-making for business stakeholders.

• Integrated Azure Blob Storage and VNets for secure data transfer, improving data accessibility by 30% for cross-functional teams.

• Automated data validation using Great Expectations, achieving 98% data accuracy across multiple datasets.

• Collaborated with data scientists to deploy ML models using TensorFlow, enhancing predictive analytics accuracy by 15%.

• Documented data pipelines and workflows in Confluence, reducing team onboarding time by 20%. Data Engineer Maxgen Technologies – India June 2021 – June 2023

• Built and maintained ETL pipelines using Python, Pandas, and SQL, processing 1M+ records daily for business intelligence reporting.

• Optimized data workflows in Apache Airflow, reducing data processing time by 30% for financial analytics applications.

• Created interactive dashboards using Tableau and Power BI, improving data visualization and stakeholder decision-making by 25%.

• Implemented data quality checks using Great Expectations, ensuring 98% data accuracy across multiple datasets.

• Integrated MySQL and MSSQL databases, streamlining data access for 50+ users across departments.

• Automated data ingestion scripts using Python and FastAPI, reducing manual processing time by 40%.

• Documented data pipelines and SOPs in Confluence, improving team collaboration and onboarding efficiency by 15%. PROECTS

Traffic Rule Violation Detection

• Developed an application for real-time traffic violation detection (signal violations, speed infractions, lane breaches) using the CNN-YOLOv3 algorithm, generating automated tickets.

• Technologies: Python, OpenCV, TensorFlow, NumPy, Flask Face Expression Detection

• Created a machine learning project to detect facial expressions using Convolutional Neural Networks (CNN), trained on 3,000 images for high accuracy.

• Technologies: Python, OpenCV, TensorFlow, Keras, Streamlit MissingX

• Developed a Lost & Found management system website with a notification system, using MySQL for backend and PHP, HTML, CSS, and JavaScript for frontend.

• Technologies: PHP, MySQL, HTML, CSS, JavaScript

EDUCATION

Master of Information Systems (MIS)

University of Texas at Arlington, USA August 2023 - May 2025

• Coursework: Advanced Analytics, Data Communication & Networking, Data Warehouse & Business Intelligence Bachelor of Engineering (BE) in Computer Engineering University of Mumbai, St. Francis Institute of Technology, Mumbai, India July 2018 - August 2022 TECHNICAL SKILLS

• Programming Languages: Python, JavaScript, SQL, PHP, HTML, CSS, C, R, Scala, TypeScript

• Frameworks & Libraries: Flask, FastAPI, Django, Bootstrap, NumPy, Pandas, TensorFlow, Scikit-learn, Matplotlib, Seaborn, PyTorch, OpenCV, Keras, NLTK, Plotly

• Databases: MySQL, MSSQL, MongoDB, Snowflake, PostgreSQL, DynamoDB, Redis

• Data Tools: Apache Airflow, Tableau, Power BI, Great Expectations, dbt, Apache Spark, Apache Kafka, Looker

• Cloud Platforms: AWS (S3, EC2, Glue, Redshift, Lambda), Azure (VNets, Blob Storage, Data Lake), Google Cloud (BigQuery, Cloud Storage)

• Developer Tools: GitHub, GitLab, Jupyter Notebook, Visual Studio Code, Confluence, Jira, Docker, Jenkins, Postman

• Machine Learning & AI: Supervised/Unsupervised Learning, Deep Learning, Computer Vision, NLP, Model Deployment

• Data Visualization: Tableau, Power BI, Plotly, Matplotlib, Seaborn, Looker Studio

• Soft Skills: Problem Solving, Critical Thinking, Teamwork, Effective Communication, Time Management, Analytical Reasoning, Stakeholder Management

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