Priyank Vaidya
@priyankvaidya
Data engineer and software developer specializing in scalable data pipelines and cloud platforms.
What I'm looking for
I am a data engineer and software developer with hands-on experience building scalable ETL pipelines, real-time analytics systems, and cloud-native applications. I have applied Hadoop, Spark, Airflow, Snowflake, Databricks and cloud services to improve ingestion, processing, and model distribution across products.
In internships I engineered VoIP backend features, integrated AI voice agents, and reduced fraud and latency through targeted routing and optimizations. I have also implemented data pipelines for medical datasets, automated workflows to cut deployment time, and integrated Sagemaker and Snowflake to scale model usage and warehousing.
I combine strong engineering fundamentals from a B.Tech in Computer Science with practical experience in CI/CD, containerization, and orchestration. I am results-driven, comfortable leading technical efforts, and focused on delivering reliable, performant data solutions that support product growth.
Experience
Work history, roles, and key accomplishments
Software Engineer Intern
AppItSimple Infotech
Jan 2025 - Present (9 months)
Engineered VoIP features using Redis to boost backend performance by 60% and integrated AI voice agents with SIP trunking and RAG-based multilingual models; implemented CRM-based routing and predictive dialer recycling to reduce call fraud by 50%.
Software Engineer Intern
Wow-AI, Inc
Mar 2024 - Jun 2024 (3 months)
Implemented ETL data pipelines with Hadoop and Spark to improve medical data labeling efficiency, automated ingestion with Apache Airflow reducing deployment time by 30%, and integrated Snowflake and AWS SageMaker to optimize warehousing and model distribution.
Education
Degrees, certifications, and relevant coursework
Pandit Deendayal Energy University
Bachelor of Technology, Computer Science and Engineering
2021 - 2025
Grade: 9.05 GPA
Pursuing Bachelor of Technology in Computer Science and Engineering with coursework in Design Patterns, DBMS, Operating Systems, Discrete Mathematics, Statistics, Data Visualization, and Big Data Analytics; achieved GPA 9.05.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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