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Title Data Engineer Intern
Target Location US-OH-Cincinnati
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                                         Candidate's Name
                                         Portfolio | LinkedIn | EMAIL AVAILABLE

EDUCATION
Master of Science, Information Technology                                                                        Cincinnati, Ohio
University of Cincinnati                                                                                   August Street Address    Present
Coursework: Web Application Programming & Hacking, Microsoft Data Engineer, Statistical Data Analysis, Cybersecurity.
Bachelor of Technology, Information Technology,                                                           Andhra Pradesh, India
Vignan s Foundation for Science, Technology, and Research                                                  July 2019   April 2023
Coursework: C, Data structures, Java, Python, Mobile Application Development, Web Technology, Data Mining Techniques

TECHNICAL SKILLS
Programming: C++, C, C#, Python, Java, SQL
Web Development: HTML, CSS, JavaScript, Django, React.js, MySQL, RESTful APIs
Operating Systems/ Data Tools: Linux, Windows, Unix, Git, Shell Script, Visual Studio, Tableau, ETL Development
Machine Learning Tools/ Frameworks: Qt, TensorFlow, Sci-kit Learn, Keras, NumPy, Pandas, Apache Spark, Hadoop, Springboot
Cloud & DevOps: GCP, AWS, Azure, Jenkins, Docker, Github Actions
Soft Skills: Client Oriented, Leadership, Adaptability, Teamwork& Collaboration, Time Management, Creativity, Emotional Intelligence

EXPERIENCE
Software Developer Intern   SS&C Technologies                                                      Aug 22 - Dec 22
    Developed and optimized Python ETL pipelines, boosting data processing speed by 25%.
    Created reusable Python modules to streamline workflows and standardize code across multiple components, reducing
     development time by 40% for future features.
     Used TCL scripts to automate testing processes, enhancing software reliability and reducing testing time by 15%.
     Integrated MySQL databases and third-party APIs to enable seamless data flow and synchronization, improving data retrieval
     accuracy and consistency by 35%.
Data Engineer Intern   Cybrosphere Solutions                                                                      Apr 23 - Aug 23
    Streamlined ETL processing efficiency by 30% through designing and implementing Unix shell scripts. Spearheaded ETL
     operations across 3 servers, enhancing data retrieval processes.
    Multiplied ETL execution frequency by 24 times using automated Python and batch scripts. Engineered 9 Python ETL scripts,
     boosting data transfer accuracy between database tables.
    Devised 7 Python scripts for XML parsing, facilitating streamlined database insertion. Optimized content storage efficiency using
     Python and Django with jQuery UI in 2 projects.
    Enhanced 6 Tableau visualizations to deliver strategic insights for management, leading to more informed decision-making
    Guaranteed over 95% customer satisfaction by consistently ensuring the application met the desired requirements.
PROJECTS
  Automated Data Warehouse with Databricks and Azure SQL
          Processed 100 TB of data by designing an automated ETL pipeline using Databricks and Azure SQL.
          Enhanced data transformation and cleansing workflows with Apache Spark, Maintained high data quality by transforming 500
          GB of datasets with Apache Spark.
          Enabled reporting for 10 cross-functional teams by implementing a scalable Azure data warehouse.
  FitOn Clone
          Crafted and launched a responsive web application interface using HTML5, CSS3, and JavaScript, ensuring accessibility for
          trainers and bodybuilders.
          Administered a MySQL database with 200 tables, to securely store 10,000 user records and complaints. Constructed 15 UI
          changes aligning with project specs, boosting user experience and satisfaction ratings by 20%.
 Facebook Interface Development Using GitHub and Ubuntu Linux
          Created an interactive dashboard with Python and Tableau to analyze COVID-19 statistics, identifying trends and hotspots for
          public health insights.
          Produced 20 effective visualizations to convey complex health trends through data cleaning with Pandas.
CERTIFICATIONS
        Introduction to Machine Learning | NPTEL by IIT Madras in Oct-2022
        Social Networks | NPTEL by IIT Madras in Oct-2022
        Oracle Cloud Infrastructure 2024 Generative Artificial Intelligence Certified Professional in Jun-2024

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