Experienced Data Engineer with a proven track record of designing and implementing scalable data solutions across multiple industries. Currently advancing expertise through Master's in Data Science while maintaining hands-on experience in modern data engineering practices. Combines strong analytical skills with practical implementation experience in cloud platforms, machine learning, and business intelligence. Committed to continuous learning and contributing to data-driven organizational success through innovative solutions and strategic insights. Experienced with designing and optimizing data pipelines to ensure seamless data flow, utilizing advanced SQL and Python skills to create and maintain robust data architectures. Track record of implementing scalable solutions that enhance data integrity and support informed decision-making. Results-driven data engineering professional with a solid foundation in designing and maintaining scalable data systems, expertise in developing efficient ETL processes, ensuring data accuracy, and contributing to impactful business insights. Known for strong collaborative skills and ability to adapt to dynamic project requirements, delivering reliable and timely solutions.
Python
SQL
R
MATLAB
SAS
VBA
Scikit-learn
TensorFlow
Predictive Analytics
Statistical Modeling
A/B Testing
Time Series
Apache Spark
Apache Kafka
Snowflake
ETL Pipelines
Data Warehousing
Data Modeling
Power BI
Tableau
Orange
Matplotlib
Seaborn
Plotly
AWS
Azure
MySQL
MongoDB
Git
Python programming
Machine learning
Statistical analysis
SQL databases
Data mining
Neural networks
Natural language processing
Database management
Big data analytics
Data wrangling
Data exports
Sentiment analysis
Data operations
Large dataset manipulation
BI tools expertise
Deep learning
Time series analysis
Regression library management
Bayesian statistics
Data visualization
Analytical skills
Problem-solving
Analytical thinking
Data science research methods
Data analytics
Data migration
Master's in Data Science