Data Engineer with Over 3 years of hands-on experience in designing, implementing, and optimizing data pipelines, architectures, CRM querying and advanced data Collection . ● Proficient in leveraging cloud platforms such as AWS and AZURE, as well as using tools like SQL, Python to manage and process large Healthcare datasets. ● Experienced with tools like Power Bi,Tableau, Ms Excel, Outlook, Word and data visualization platforms allows for clear and impactful communication of findings from the raw data sets to find the error rate. ● Skilled in programming languages like Python and R for data manipulation and model development. ● Experienced with tools like Power Bi, Ms Excel, Outlook, Word and data visualization platforms allows for clear and impactful communication of findings from the raw Healthcare data sets to find the error rate. ● Iexcel in collecting, evaluating, and interpreting complex data in both statistical and narrative forms, using quantitative and qualitative analysis tools and modeling to provide advanced, impartial research and policy evaluations.
- Experience in a variety of industries, which includes hands-on experience in Big Data, Hadoop, GCP Cloud systems, AWS, Azure large information tools, and frameworks. ● Experience in importing and exporting data using the Kafka stream processing platform. ● Strong Knowledge of Apache Spark with Scala Environment. ● Skilled in developing applications in Python language for multiple platforms. ● Hands-on experience with advanced deep learning techniques, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM) networks, which have been instrumental in driving successful projects across various domains. ● Skilled in performing data transfer between different heterogeneous systems (Excel, Flat Files, XML file, JSON, OLTP DB) and SQL server as part of Data migration, Data maintenance. ● Designed and implemented end-to-end data pipelines using AWS S3 and AWS Lambda ensuring efficient data ingestion, processing, and storage during the Master’s. ● Proficient in representing data in the form of Graphs, Barcharts, Box Plots , and Pie charts using different libraries to make the easy understanding of the data pattern to the sales team and Non-Technical audience .. ● Proven knowledge in Applied Mathematics, Data Analytics, Data Mining, Data Science and problem solving areas. ● Strong project management and cross-functional collaboration skills made me give extensive support to my team in delivering a project. ● Proven expertise in problem-solving, Data Architecture Database structures, SDLC and critical-thinking, with a strong history of identifying issues, designing effective solutions, and implementing changes successfully to fulfill ad-hoc requirements.
