I am seeking entry to entry-level data engineering roles where I can build scalable pipelines, work with cloud data platforms, collaborate with cross-functional teams, and grow into production data platform responsibilities.
Vijay Gandhamaneni
@vijaygandhamaneni
Aspiring Data Engineer skilled in building scalable real-time and batch data pipelines.
What I'm looking for
I am an aspiring Data Engineer (2025 graduate) with hands-on experience building real-time and batch data pipelines using Kafka, PySpark, Airflow, and Azure Data Factory. I have a strong foundation in SQL, Python, data modeling (star/snowflake schemas), and data visualization with Power BI and Tableau, and I have delivered projects that reduced latency and improved operational awareness.
I have completed a Data Analyst internship at a research lab where I cleaned and validated large-scale sensor datasets, supported ETL workflows, and created dashboards to surface anomalies and metrics. I am eager to contribute to scalable, data-driven systems that bridge data engineering and AI innovation, and I bring practical experience in orchestration, cloud data ingestion, and building production-ready workflows.
Experience
Work history, roles, and key accomplishments
Data Analyst Intern
National Atmospheric Research Laboratory
Jul 2024 - Present (1 year 11 months)
Cleaned, transformed, and validated large-scale sensor datasets using Python and SQL to improve data quality and streamline ingestion; developed Power BI dashboards that surfaced anomalies and improved reporting efficiency.
Data Engineer (Projects)
Personal/Academic Projects
Built real-time and batch data pipelines using Kafka, PySpark, Airflow, and Azure to process high-throughput ride-sharing and retail sales data, reducing latency from minutes to seconds and improving processing speed by 40%.
Education
Degrees, certifications, and relevant coursework
Sreenivasa Institute of Technology and Management Studies
Bachelor of Technology, Computer Science and Engineering
2021 -
Grade: 8.2
Pursuing Bachelor of Technology in Computer Science and Engineering with a CGPA of 8.2, focused on data engineering tools and cloud platforms.
Sri Chaitanya Junior College, Tirupati
Class 12th, MPC (Mathematics, Physics, Chemistry)
2020 - 2021
Grade: 90.8%
Completed Class 12th (MPC) with a focus on mathematics, physics, and chemistry, achieving 90.8% percentage.
Govt High School Pakala
Class 10th, Secondary Education
2018 - 2019
Grade: 9.3
Completed Class 10th under the AP State Board with a CGPA of 9.3.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
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