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Ravula Ramakrishna

@ravularamakrishna

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Aspiring Data Engineer with strong skills in Python and SQL.

India

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What I'm looking for

I am looking for a role that challenges me and fosters growth, ideally in a collaborative environment focused on innovative data solutions.

I am an aspiring Data Engineer with a solid foundation in Python, SQL, and Power BI, complemented by hands-on experience in data extraction, preprocessing, and analysis. Currently, I work as a Cloud Engineer at LTI Mindtree, where I manage Azure Active Directory and implement secure identity solutions. My journey in data engineering began during my internship, where I completed an intensive training program on Big Data technologies, gaining practical experience in designing and implementing ETL pipelines.

Throughout my career, I have successfully completed freelance projects that involved web scraping and data cleaning using Python libraries such as BeautifulSoup and Pandas. I take pride in delivering high-quality datasets tailored to client requirements. My achievements include being recognized as a Star Performer for four consecutive months at LTI Mindtree, where I resolved over 95% of assigned support tickets within SLA timelines. I am eager to leverage my analytical skills to tackle real-world business challenges and contribute to innovative data solutions.

Experience

Work history, roles, and key accomplishments

Current

Cloud Engineer

Current

LTI Mindtree

Jun 2024 - Present (11 months)

Managed and optimized the Azure Active Directory environment, including configuration, maintenance, and troubleshooting. Implemented and maintained Single Sign-On (SSO) integrations and Azure App Registrations using SAML and OAuth protocols. Handled escalations and resolved Level 2 to Level 3 Azure AD issues within defined SLAs.

Azure Active Directory Single Sign On SAML OAuth Security Groups

Freelance Web Scraper

Freelancer

Dec 2023 - Present (1 year 5 months)

Worked on various freelance projects involving web scraping data extraction, and data preprocessing. Utilized Python libraries such as BeautifulSoup and Requests to scrape data from websites. Processed and cleaned large datasets using Pandas and NumPy for analysis.

Web Scraping Data Extraction data preprocessing Python BeautifulSoup Pandas NumPy

Data Engineer Intern

LTI Mindtree

Mar 2023 - Present (2 years 2 months)

Completed an intensive training program on Big Data technologies, including Hadoop, Hive, SQL, PySpark, and Python. Gained practical experience in designing and implementing ETL pipelines for processing large-scale datasets. Developed and optimized SQL queries for data analysis and reporting.