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Click here or scroll down to respond to this candidateCandidate's Name
Denton, TX EMAIL AVAILABLE GitHub: @Candidate's Name PHONE NUMBER AVAILABLEProfessional SummaryResults-oriented Data Engineer with a solid track record of developing and deploying high-level data solutions, handling large projects, and mentoring teams. Expertise in cloud computing, big data analytics, and software development, with a particular emphasis on optimizing system performance and ensuring data integrity. Skilled in Python, SQL, Azure, Spark and data visualization tools like Power BI, with a demonstrated ability to communicate complex technical concepts clearly and effectively. Led and collaborated on many of the most critical production releases, enhancing integration and pushing significant gains in team efficiency. Ability to use advanced analytics in the facilitation of key strategic decisions through impactful business insight.EducationMissouri University of Science and TechnologyMaster of Science in Computer Science GPA: 3.7 Missouri, USA (Aug 2022 May 2024)Relevant Coursework: Analysis of Algorithm, Big Data and Cloud Computing, Business Analytics and Data Science, Information VisualizationMahatma Gandhi Institute of TechnologyBachelor of Technology in Computer Science and Engineering GPA: 3.6 Telangana, India (Aug 2015 May 2019)Relevant Coursework: Data Mining, Cloud Computing, Machine Learning, Probability and Statistics, Data Structures, Database SystemsSkillsTechnical skills: Excel, Data Analysis, Data Engineering, Data Visualization, Software Development, AlgorithmsLanguages: Python, C++, C#, Java, R, SQL, PL/SQL, T-SQL, PySpark, Scala, Hadoop, Hive, PigBackend and Cloud Services: MySQL, MongoDB, DB2, Microsoft SQL Server, Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Azure Cosmos DB, Azure Stream Analytics, Azure Databricks, Microsoft Power BI, Apache SparkTools and OS: Jira, Toad, Azure, GitHub, GitLab, Linux & WindowsCertifications: Cisco Certified: Introduction to Data Science, Microsoft Certified: Azure Data Fundamentals, Microsoft Certified: Azure AI Fundamentals, Oracle Academy: Java Fundamentals & Java Programming, Infosys Certified: Agile Developer, Infosys Certified: Python Associate Practitioner, Microsoft Certified: Azure Data Engineer AssociateProfessional ExperienceMissouri University of Science and TechnologyGraduate Teaching Assistant Rolla, Missouri (Aug 2023 May 2024)Developed comprehensive C++ lab programs for a cohort of 107 students, intricately designed to convey core concepts effectively.Assisted students in debugging their code, fostering a collaborative and supportive learning environment that encouraged problem-solving skills.Graded assignments, exams, and projects for Introduction to Database Systems and File Structure courses.Evaluated student work on Entity-Relationship Diagrams, SQL queries, relational algebra, and query optimization.Infosys LimitedSenior Systems Engineer Data Engineer Hyderabad, Telangana (Jan 2022 Jul 2022)Elevated to Release Coordinator, orchestrated and deployed critical production releases, achieving a 20% reduction in deployment time.Led and mentored a team of new resources, enhancing project integration and achieving significant improvement in team efficiency.Actively participated in system design discussions, contributing innovative solutions that resulted in a 25% increase in system performance.Infosys LimitedSystems Engineer Data Engineer Hyderabad, Telangana (Nov 2019 Dec 2021)Worked on the project to integrate and harmonize data systems following the merger of two banks, developing scalable Cloud data solutions using Azure Data Warehouse/Synapse, Azure Blob Storage, and Azure Databricks. Customized solutions to align with the unique requirements of the merged entity and ensure seamless data consolidation.Designed and managed data pipelines and transformations using Azure Data Factory (ADF), orchestrating ETL processes to integrate balances and positions data from disparate systems of the merging banks. Implemented efficient ELT processes to accommodate the influx of data and meet real-time operational demands.Utilized advanced SQL skills to write complex queries and stored procedures for data extraction and loading, ensuring accuracy and reliability in consolidating balances and positions data from multiple sources.Used Python and PySpark for efficient data transformation and real-time processing.Collaborated closely with cross-functional teams and business stakeholders from both banks to design unified data models tailored to regulatory requirements and business needs post-merger. Ensured alignment with regulatory standards and compliance.Supported business intelligence and analytics initiatives focused on managing balances and positions post-merger, leveraging tools like Microsoft Power BI to provide actionable insights for investment decision-making and regulatory compliance. Implemented reporting and analytics solutions to facilitate data-driven decision-making in the merged entity.Conducted unit testing and code reviews to ensure quality and accuracy. Actively participated in Agile development, contributing to iterative progress and adaptive planning.ProjectsBig Data Analytics Project: Mutual Friends Analysis using Map-Reduce in Hadoop and SparkApplied Big Data Analytics expertise using MapReduce in Hadoop and Spark for Mutual Friend Analysis on soc-LiveJournal1Adj.txt dataset.Addressed challenges like identifying pairs with the most mutual friends starting with "1" or "5," showcasing advanced algorithm design.Demonstrated proficiency in distributed computing, emphasizing Spark's efficiency over Hadoop and practical skills in big data analytics.Exploratory Data Analysis on Restaurant dataAnalyzed restaurant data with diverse formats like .csv, .xlsx, and .accdb, ensuring consistency through meticulous preprocessing.Employed python packages (numpy, pandas, seaborn, sklearn, matplotlib) for efficient data manipulation and analysis.Extracted actionable insights on popular cuisines, dining preferences, and satisfaction levels, aiding strategic decision-making.Olympic Data Analysis in Azure (End-to-End Data Workflow)Implemented a comprehensive Olympic data analysis end-to-end pipeline on Azure, utilizing Data Lake Storage for raw data storage.Employed Azure Databricks for efficient ETL process, processed data using PySpark and stored it back in Data Lake Storage containers.Leveraged Azure Synapse Analytics for insightful analyses and seamlessly integrated Power BI for compelling visual representations.Database Normalization Query GeneratorDeveloped a robust program to normalize input dataset based on given functional dependencies and normal form as input, promoting data integrity and minimizing redundancy.Engineered the program to automatically generate SQL queries during the normalization process, facilitating the creation of structured, optimized database tables.Liver Tumor detection and Tracking using Image SegmentationCreated a tumor detection and tracking application utilizing Rule-based Engine and Pixel-based segmentation for disease diagnosis.Achieved an 85% overall accuracy in tumor detection, emphasizing the effectiveness of the implemented algorithms.Generated detailed reports including patient symptoms, tumor percentage increase, and consultation recommendations for enhanced medical decision-making. |
