Dynamic data engineering professional with strong analytical skills and comprehensive understanding of big data technologies. Proven success in designing, developing, and maintaining efficient data pipelines and databases, ensuring optimal data integrity and accessibility. Advocates for team collaboration and adaptability to evolving project requirements, consistently delivering impactful results. Recognized proficiency in SQL, Python, ETL processes, and cloud platforms such as AWS and VMware, with a passion for transforming complex data into actionable strategies that drive growth and enhance decision-making.
Programming in SQL, Python, R, and SAS
Skilled in relational and non-relational databases like PostgreSQL, MySQL, NoSQL
SQL data analysis proficiency
Skilled in ETL process development
Experienced working in both agile and waterflow methodologies
Skilled in utilizing Python packages like Pandas, NumPy, SciPy, PySpark, Matplotlib, Seaborn, StatsModels for statistical analysis and data visualization
Experienced with Scikit-learn, TensorFlow, Keras, and PyTorch
Proficient in AWS and VMware solutions
Tools: Google Analytics, Google Co-labs, Tableau, MS Excel, MS Word, MS PowerPoint, Processing, Gephi
Reliable work habits
Detail-oriented approach