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Data Engineer with less than a year in cloud data pipeline development and real-time streaming archi
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Snowflake-certified Data Engineer with a B.Tech in AI/ML, specializing in cloud data pipeline development, real-time streaming architecture, and modern data stack integration. Experienced in designing medallion architecture ETL/ELT pipelines that process 10M+ records daily, deploying production-grade solutions to the Snowflake Marketplace, and integrating tools such as Kafka, Spark, DBT, Fivetran, and Matillion. Delivered a 20% improvement in pipeline efficiency and published 3 Snowflake Marketplace accelerators. Adept at building scalable, cost-optimized data warehousing solutions on Snowflake and AWS.
Malla Reddy University
B.Tech · AIML
August 1, 2021 – June 30, 2025
Sri Chaitanya junior college
Intermediate · MPC
June 1, 2019 – May 31, 2021
Boolean Data Systems
Technical Enablement Engineer
October 1, 2025 – April 1, 2026
Hyderābād, Telangana, India
Boolean Data Systems
Data Engineering Intern
August 1, 2025 – September 1, 2025
Hyderābād, Telangana, India
MCD - Revenue Cycle & Claims Analytics Platform
February 1, 2026 – April 1, 2026
Designed and implemented end-to-end ETL pipeline on Snowflake to ingest, transform, and analyze large-scale healthcare claims datasets supporting business KPI reporting. Built medallion architecture (Raw → Bronze → Silver → Gold) with optimized SQL transformations and data models; automated ingestion workflows for near real-time analytics.
Real-Time Fraud Detection Pipeline
October 1, 2025 – January 1, 2026
Built an end-to-end real-time data pipeline ingesting simulated credit card transactions using Apache Kafka, processing 10,000+ events/sec with sub-second latency streaming. Developed a fraud detection engine using Apache Spark Structured Streaming with Z-score anomaly detection, accurately flagging suspicious transactions in real time. Implemented dead-letter queue (DLQ) pattern in Kafka to capture and reprocess failed records, ensuring 100% data durability across the pipeline. Integrated Grafana dashboard for real-time monitoring of pipeline latency, throughput, and fraud rates; designed a PostgreSQL data store for flagged transaction records.
View ProjectDomo Major Certified
Domo
January 1, 2026 – Present
Databricks Certified Data Engineer Professional
Databricks
January 1, 2026 – Present
SnowPro Advanced Data Engineer Certification
Snowflake
January 1, 2026 – Present
ThoughtSpot Professional Certification
ThoughtSpot
January 1, 2026 – Present
Matillion Data Productivity Cloud Foundations Certification
Matillion
January 1, 2025 – Present
SnowPro Core Certification
Snowflake
January 1, 2025 – Present
Matillion ETL Foundations Certification
Matillion
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from healthcare analytics to real-time fraud detection, showcases adaptability and a broad interest in data engineering applications. Their extensive list of certifications and continuous learning aligns well with a culture of continuous improvement and technical excellence. The experience with various modern data stack tools and cloud platforms (AWS, Azure) indicates a versatile skill set suitable for diverse team environments. The focus on optimizing performance and cost aligns with business-oriented goals.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving and analytical thinking skills through their project descriptions, particularly in designing fraud detection logic and optimizing pipelines. Their experience in establishing technology partnerships and driving adoption of best practices suggests good stakeholder collaboration and process ownership. The rapid promotion from intern to Technical Enablement Engineer at Boolean Data Systems indicates a proactive work attitude and ability to quickly contribute to production environments.