Senior Data Engineer - ELT & Snowflake Expert

Maria Travasso

GA, USA • 360-***-**** • ************@******.** • linkedin.com/in/mariat87

Professional Summary

Senior Data Engineer with over nine years of experience designing and optimizing scalable ELT pipelines, star schema architectures, data lake architectures, and cloud data solutions using dbt, Snowflake, Talend, Apache Airflow, Azure Databricks, and Spark. Strong expertise in Python, SQL, CI/CD practices, performance tuning, and data orchestration to enhance data reliability, minimize latency, optimize costs, and empower analytics and business intelligence across AWS and Azure environments.

Skills

Cloud & Data Platforms: Snowflake, AWS (Glue, Lambda), Azure Databricks, Data Lake Architecture, Data Warehouse Architecture, Star Schema

Orchestration & ETL/ELT: Apache Airflow, Talend, ELT Pipelines, Spark

CI/CD & DevOps: Jenkins, GitHub, CI/CD, Agile, Jira

Languages & Querying: Python, T-SQL/SQL, PySpark

Optimization & Quality: Performance Tuning, Clustering, Data Quality Frameworks, Validation

Core Engineering: Data Modeling, Database Design, REST API Integration, JSON Data Handling, Scalable Pipelines, Tableau, Power BI

Professional Experience

Data Engineer

Upwork (Freelance)

April 2025 – February 2026

• Designed scalable ELT pipelines using Python, dbt, and Snowflake, reducing processing time by 40–60%.

• Orchestrated Airflow workflows with Jenkins CI/CD in AWS.

• Built high-volume ingestion into data lake architectures, improving data freshness.

• Optimized Snowflake performance via clustering, cutting compute costs by 30–50%.

• Optimized complex SQL/T-SQL queries, stored procedures, and ETL processes for high-performance data integration, reducing query times by 35–50%.

• Developed reusable Python-based frameworks for data ingestion, validation, reconciliation, and operational support.

Data Engineer

Wolfspeed, Durham, NC

January 2024 – March 2025

• Built dbt models with Jinja/Python in Snowflake and orchestrated Airflow pipelines, reducing data latency by 70%.

• Created optimized star schema tables/views for analytics, increasing query speed by 45%.

• Implemented automated data quality checks, improving accuracy by 30%.

• Guided junior team members on data modeling and best practices while facilitating design reviews.

• Established CI/CD pipelines and DataOps practices to streamline deployments and improve release quality, reducing deployment errors by 40%.

• Managed Snowflake data warehouse workloads, including schema design, performance tuning, and query optimization.

Data Engineer

Acara Solutions, Cary, NC

April 2021 – November 2023

• Optimized ELT pipelines in Talend and architected data lake/warehouse layers with star schema and dbt models in Snowflake, improving query performance by 40%.

• Integrated dbt Cloud, Airflow, and Talend into CI/CD pipelines.

• Tuned clustering/performance and established data quality frameworks.

• Worked closely with cross-functional teams and stakeholders to gather technical requirements and translate business needs into effective data solutions.

• Designed and implemented ELT architectures leveraging cloud-native capabilities in Snowflake and Databricks, minimizing data movement and improving scalability by 45%.

Data Engineer

HCL America, United States

March 2019 – November 2020

• Engineered automated ELT pipelines, reducing load time by 65% and manual effort by 50%.

• Contributed to data lake architecture using Azure Databricks and Spark, enhancing query performance by 45%.

• Deployed validation and API integrations, reducing errors by 60%.

• Collaborated with stakeholders to define requirements and deliver scalable data integration solutions, reducing manual data preparation effort by 40%.

Technical Business Analyst / SQL Developer

Multimata LLC, United States

June 2013 – February 2019

• Gathered requirements and designed robust SQL Server databases with optimized T-SQL stored procedures and performance tuning.

• Developed complex SQL procedures to strengthen data integrity, validation, and reporting speed.

• Created interactive dashboards and reports using Tableau and Power BI to support business decision-making.

• Optimized SQL Server databases and T-SQL queries, accelerating ETL processes and improving query performance.

• Handled JSON data extraction/loading and collaborated on scalable data structures.

• Leveraged Azure Databricks for data processing and pipeline prototyping.

Education

Bachelor of Science in IT, Middle Georgia State University (Computer Science, ABET Accredited)

Certifications

• Spark and Python for Big Data with PySpark

• Software Processes and Product Management

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