Nageswar Rao

Data Engineer with 4+ years of expertise in cloud data solutions, specializing in Snowflake Cloud Data Warehouse, AWS, and Azure. Currently at SLK Software Services, delivering enterprise-scale data engineering solutions for Banking and Insurance clients. KEY ACHIEVEMENTS - Migrated 200+ tables and 50+ SSIS packages to Snowflake (40% faster processing, 30% cost reduction) - Built automated pipelines processing 2TB+ daily data with 99.9% reliability - Implemented real-time data ingestion using Snowpipe and AWS S3 - Reduced data errors by 85% through comprehensive quality frameworks - Optimized SQL queries improving performance by 60% - Delivered 95% of sprint commitments on time in Agile environments TECHNICAL SKILLS Cloud & Data Platforms: Snowflake (Streams, Tasks, Snowpipe, Time Travel, RBAC, Data Sharing), AWS S3, Azure ETL/ELT Tools: Informatica PowerCenter/IICS, SSIS, DBT, Azure Data Factory Databases: Oracle, SQL Server, PostgreSQL with performance tuning expertise Programming: SQL, PL/SQL, Python, Unix Shell Scripting Data Engineering: Dimensional modeling (Star/Snowflake Schema), SCD Types 1 & 2, CDC, data quality, performance optimization CORE COMPETENCIES ? End-to-end data pipeline development and optimization ? Legacy to cloud migration expertise ? Real-time data processing and automation ? Performance tuning and cost optimization ? Data governance and security implementation ? Strong problem-solving and analytical skills ? Cross-functional collaboration and Agile delivery CAREER GOAL Seeking Senior Data Engineer or Snowflake Architect roles to leverage cloud migration expertise and build scalable data platforms.

I am a Data Engineer with around 3+ years of experience specializing in Snowflake, SQL, and cloud-based data warehousing solutions. I have strong hands-on experience in ETL/ELT development, migrating legacy systems such as SSIS to Snowflake, and building scalable data pipelines using Snowflake SQL, tasks, streams, and stored procedures.

I have worked extensively with cloud storage (AWS S3 / Azure ADLS), data ingestion using COPY INTO and Snowpipe, and incremental data processing. I am experienced in data modeling (facts and dimensions), performance tuning, and writing complex SQL queries using window functions, CTEs, and analytical logic for reporting and analytics.

Additionally, I have exposure to dbt modeling, testing, and environment variables, along with basic Python scripting for data extraction and automation. I collaborate closely with business and reporting teams, supporting tools like Power BI, and ensure data quality, governance, and security best practices. I am actively seeking opportunities where I can contribute to building reliable, high-performance data platforms.

I hold a Bachelor’s degree in Engineering / Technology, where I developed a strong foundation in databases, programming, and software engineering concepts. My academic background supported my transition into data engineering, strengthening my understanding of SQL, data structures, system design, and analytical problem-solving, which I apply in real-world data warehousing and cloud projects.