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Data Engineer with 3+ years in Snowflake & Data Analytics
Results-driven Snowflake Engineer & Data Analytics Consultant with proven expertise in cloud data warehousing, big data technologies, and business intelligence. Experienced in Snowflake modeling, dbt, CI/CD pipelines, Apache Spark, and Hadoop. Specialized in creating insightful dashboards using Microsoft Power BI and SAP Analytics Cloud for enterprise clients. Recognized for delivering optimized ETL processes and actionable insights that enhance decision-making and business growth.
Keshav Memorial Institute of Technology
Bachelor of Technology · Electronics and Instrumentation Engineering
August 1, 2019 – July 1, 2023
Phoenix Business Consulting
Associate Consultant in Data Analytics
May 1, 2023 – Present
Hyderābād, Telangana, India
Building Professional Dashboards for NJTPA, USA
June 1, 2026 – Present
Developed enterprise-grade dashboards using SAP Analytics Cloud and Microsoft Power BI for transportation data analysis. Designed and optimized backend architecture using MySQL and Core Data Services (CDS). Integrated dashboards into SAP Fiori Launchpad tiles, enabling intuitive access and real-time insights. Ensured high data quality and system performance through SQL query tuning and process optimization.
Snowflake Data Models & Dashboards for LAUSD, USA
June 1, 2026 – Present
Designed and implemented Snowflake data warehouse models using dbt with modular, reusable structures (incremental models, snapshotting). Automated CI/CD deployment pipelines with dbt and GitHub for version-controlled releases. Built interactive dashboards in Power BI and SAP Analytics Cloud, improving client reporting efficiency by 25%. Optimized ELT workflows using Snowpipe, Streams, and Tasks for real-time ingestion from SAP BW and external data sources. Applied clustering keys, partition pruning, and caching strategies to reduce query latency and warehouse costs.
Data Models & BW Process Management for LACCD, USA
June 1, 2026 – Present
Managed SAP BW process chains and ETL data flows for educational institution datasets. Migrated critical workflows into Snowflake, implementing SCD Type 2 logic for historical data tracking. Applied dynamic data masking and role-based access control to strengthen governance and compliance. Implemented monitoring dashboards for ETL pipelines using DevOps practices, improving reliability and reducing downtime.
Cloud Data Integration & Optimization Initiatives
June 1, 2026 – Present
Built real-time ingestion pipelines integrating AWS S3 with Snowflake via Snowpipe for continuous data loading. Designed ELT workflows in Snowflake with fact/dimension modeling, modular dbt transformations, and automated data quality testing. Implemented Medallion architecture (Bronze, Silver, Gold layers) to organize raw, curated, and business-ready datasets. Leveraged Time Travel and Zero-Copy Cloning for versioning, testing, and rapid recovery, reducing environment refresh time by 40%.
SAP Analytics Cloud Certification
SAP
June 1, 2026 – Present
SAP HANA Data Engineer certification
SAP
June 1, 2026 – Present
Snowflake Certification
Snowflake
June 1, 2026 – Present
Google Data Enginner Certification
June 1, 2026 – Present
Microsoft Power BI Course certification
Coursera
June 1, 2026 – Present
SQL and Python certification
w3school
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong focus on real-world applications for educational institutions (NJTPA, LAUSD, LACCD), indicating a desire to apply technical skills to impactful problems. The breadth of tools and technologies used (Snowflake, dbt, Power BI, SAP Analytics Cloud, AWS S3, MySQL, SAP BW) shows adaptability and a willingness to learn diverse systems. The certifications further underscore a commitment to continuous learning and professional development, which are positive indicators for cultural fit in a dynamic technical environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration with cross-functional teams and delivering actionable insights, suggesting good team collaboration and a results-oriented approach. The volunteer activities also indicate a sense of community and initiative. The focus on optimizing processes and improving efficiency aligns well with operational needs.