Experience with the full development cycle of a Data Pipeline, including requirements gathering, design, implementation, and maintenance.
Experience in Machine Learning techniques such as Forecasting, Classification, Clustering, Text Mining, Decision Trees, Random Forest and Search algorithms using Scikit-learn.
Highly skilled in data pre-processing, cleaning, and joining very large data sets.
Expertise in data modelling , ETL development, and data warehousing.
Experience leading large-scale data warehousing and analytics projects, including AWS technologies- Redshift,S3
Design a scalable architecture and conduct research to answer business needs.