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Data Engineer with 3+ years in Cloud Data Platforms & ETL Pipelines
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Assessing your cultural and operational fit
Data Engineer with 3 years of experience building and optimizing large-scale cloud data platforms using Snowflake, dbt, Airflow, and Azure Data Factory. Specialized in healthcare data migrations, billion-scale datasets, and performance optimization. Experienced in developing reliable ELT pipelines that support analytics workflows. Proficient in Python, SQL, and Azure-based data solutions, with hands-on experience applying AI tooling (LangChain, Snowflake Cortex) to data workflows.
Osmania University
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
Satavahana University
Bachelor of Science · Data Science
August 1, 2020 – June 30, 2023
Perficient, Inc.
Associate Technical Consultant
May 1, 2023 – Present
India
Customer Churn Prediction
May 1, 2026 – Present
Built a binary classification ANN achieving ~86% accuracy on 10,000 records for customer churn prediction.
View ProjectAI Agents with LangChain & LangGraph
May 1, 2026 – Present
Developed multiple AI agents including search agents, RAG-based QA systems, reflection agents, and code interpreters using LangChain v1+ and LangGraph. Implemented Retrieval-Augmented Generation (RAG) pipelines with tool integration and memory handling for context-aware responses.
View ProjectSnowPro Core Certification
Snowflake
May 1, 2026 – Present
dbt Analytics Engineering Certification
dbt Labs
May 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across multiple clients at Perficient highlights adaptability and the ability to integrate into diverse project environments. The combination of core data engineering expertise with personal AI/ML projects demonstrates intellectual curiosity, a drive for continuous learning, and an innovative mindset. Commitment to professional development, as shown by certifications, aligns with a culture valuing growth and best practices. The focus on scalable and reliable data solutions indicates a good fit for a high-performance data-driven organization.
Soft Skills & Operational Fit
The candidate exhibits strong problem-solving capabilities through refactoring complex transformations and optimizing performance bottlenecks. Collaboration with analysts, QA, and business stakeholders is evident, indicating good teamwork and communication skills. A proactive approach to automation and process improvement, coupled with a commitment to data quality and detailed documentation, suggests a candidate who is operationally sound and focused on efficiency and reliability.