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Click here or scroll down to respond to this candidateCandidate's Name
Data EngineerAtlanta, GA PHONE NUMBER AVAILABLE EMAIL AVAILABLESUMMARY4+ years of experience in data analysis and engineering, optimizing data pipelines to improve processing efficiency by 30%.Proficient in Python, R, SQL, and SAS, with a track record of developing predictive models that increased forecasting accuracy by 20%.Developed data visualizations with Tableau and Power BI, improving decision-making processes and boosting stakeholder engagement by 25%.Engineered and implemented ETL pipelines on AWS, reducing operational expenses by 20% and maintaining 99% data availability.Experienced in building data pipelines on cloud platforms such as Microsoft Azure, Snowflake, and Google Cloud Platform (GCP).EDUCATIONMasters of Science in Computer Science Kennesaw State University - Atlanta, GABachelors in Electronics and Communication Engineering Osmania University - Hyderabad, TelanganaSKILLSMethodologies: Agile, Waterfall Language: Python, R, SQL, SAS IDEs: Visual Studio Code, PyCharmPackages: NumPy, Pandas, Matplotlib, SciPy, ggplot2, Scikit learn, PySpark, Keras, TensorFlow, Apache AirflowVisualization Tools: Tableau, Power BI, Microsoft Excel, Looker, Google AnalyticsDatabase: MySQL, SQL Server, Mongo DB, CassandraCloude technologies: AWS, S3, RDS,Microsoft Azure (ADF, SSMS, Blob Storage)Version Control Tools: GitOperating System: Windows, LinuxOther Skills : DAX, Power Query, JIRA, Machine learning AlgorithmsEXPERIENCECentene, GA March 2022- PresentData EngineerSpearheaded the design and implementation of end-to-end ETL pipelines, increasing data handling capacity by 40% and improving overall data efficiency.Optimized data workflows using Python, SQL, and AWS tools (S3, RDS), leading to a 30% reduction in data processing times and faster data accessibility.Collaborated with cross-functional teams to define scalable data architecture, resulting in a 15% reduction in system downtime and enhanced infrastructure performance.Automated data validation processes, improving data quality by 20% and reducing manual error corrections significantly.Designed and implemented data models to support real-time analytics, driving enhanced decision-making capabilities across the company.Applied version control best practices using Git, improving collaboration efficiency across teams and enhancing code quality by 10%.Led the design and optimization of data pipelines using Python, R, and SQL, boosting operational efficiency by 15%.Engineered scalable data pipelines with PySpark, formatting data (JSON) for visualization, and creating dashboards, improving data processing speed by 25% and reducing latency in real-time data handling.Managed and simplified data storage solutions in Amazon S3, achieving 99% data availability and ensuring compliance with stringent security standards.Worked closely with teams to enhance data quality leading to a 20% increase in data-driven decision-making throughout the organization.Apex Infolab, IndiaData Engineer May 2019 - July 2021Collaborated closely with cross-functional teams in an Agile environment, improving communication efficiency and reducing data pipeline delivery timelines by 15%.Optimized data processing tasks by leveraging Python's data manipulation libraries (Pandas, NumPy), resulting in a 30% increase in productivity across data workflows.Developed dynamic and automated reporting pipelines using Power BI, leading to a 25% increase in strategic decision-making efficiency through real-time business intelligence insights.Conducted advanced statistical data analysis using R and SAS, contributing to predictive model development that improved sales forecast accuracy by 20%.Managed and restructured AWS infrastructure, reducing resource usage and cutting operational costs by 20%, while maintaining a 99% uptime for seamless data processing operations.Enhanced team collaboration through effective communication and critical thinking, resulting in a 10% decrease in project lead times and improved project outcomes. |
