Data Engineer - Snowflake ETL - Azure DevOps & C# Expert

SURYA TEJA

Kingsville, TX ******************@*****.*** 561-***-****

Data Engineer Snowflake ETL Azure DevOps C# SQL

SUMMARY

Data Engineer with hands-on experience in ETL pipeline development, Snowflake administration, data ingestion and transformation, and cloud-based data platform operations. Proficient in C#, Azure DevOps, and CI/CD pipeline development, with strong skills in data quality, normalization, and migration. Experienced working across on-premises and cloud databases, building scalable data solutions, and collaborating with technical and business teams to ensure data flows reliably across enterprise systems.

EDUCATION

Texas A&M University, Kingsville Jan 2024 – Dec 2025

Master of Science in Computer Science GPA: 3.9 / 4.0

TECHNICAL SKILLS

Data Platforms: Snowflake, Azure Data Factory, Azure Enterprise Service Bus (ESB), SQL Server, PostgreSQL, MySQL, MongoDB

ETL & Pipelines: ETL development, data ingestion, data extraction, data normalization, data quality validation, CI/CD pipeline development

Languages: C#, Python, SQL, T-SQL

Cloud & DevOps: Azure DevOps, Azure ESB, Azure Blob Storage, AWS (S3, RDS, Lambda), Docker, Git, GitHub

Reporting & Visualization: Tableau, Cognos, ad hoc reporting, data analysis

Practices: Data governance, data migration, system process mapping, data architecture, Agile, Scrum

PROFESSIONAL EXPERIENCE

Data Engineer Helios Technologies, LLC USA Jan 2025 – Apr 2026

Designed and maintained ETL pipelines for ingesting, transforming, and loading structured data from multiple source systems into a centralized Snowflake data warehouse

Administered Snowflake environment including role and permission management, query performance tuning, cost monitoring, and capacity planning to ensure reliable platform operations

Developed C# scripts and Azure DevOps CI/CD pipelines to automate data pipeline deployments and enforce consistent release processes across development and production environments

Configured and managed Azure Enterprise Service Bus (ESB) to handle data routing and API-based integration between internal systems and external data vendors

Performed data preprocessing, normalization, and anonymization on incoming datasets to meet data quality standards before loading into downstream systems

Built Tableau dashboards and ad hoc reports to support business stakeholders with operational and analytical data needs

Supported data migration projects by designing validation frameworks to verify data accuracy and completeness across source and target systems

Implemented data governance policies including access controls, audit logging, and compliance checks to maintain data security and consistency across the platform

Collaborated with IT and business teams to document data flows, map system processes, and support integration of new data sources and tools

Data Engineer NextGen Solutions India Dec 2020 – Jan 2024

Built and maintained data ingestion pipelines to extract data from relational and flat-file sources, applying transformation and quality checks before loading into SQL Server and PostgreSQL data stores

Developed ETL workflows using C# and Python to automate data extraction, cleansing, and loading processes across multiple business domains

Managed on-premises and cloud database environments, handling schema design, indexing, stored procedure development, and query optimization for high-volume data workloads

Produced Cognos and Tableau reports and visualizations for internal stakeholders, covering sales, operations, and customer data trends

Supported data migration projects including schema mapping, data validation, reconciliation testing, and issue resolution across source and target systems

Implemented CI/CD pipelines using Azure DevOps to automate testing and deployment of data pipeline code, reducing manual release effort

Enforced data governance standards including data classification, access management, and documentation of data lineage across integrated systems

Worked with business analysts and IT teams to gather data requirements, map system processes, and deliver reliable data solutions aligned with operational needs

PROJECTS

Enterprise Data Pipeline Snowflake, Azure Data Factory, C#, Azure DevOps, SQL Server Oct 2025 – Dec 2025

Built an end-to-end data ingestion and transformation pipeline pulling data from multiple vendor APIs into Snowflake, applying normalization and quality validation rules at each stage

Set up Azure DevOps CI/CD pipeline for automated deployment of pipeline code across development, staging, and production Snowflake environments

Developed Tableau dashboards on top of the Snowflake data to provide stakeholders with real-time visibility into key operational metrics

Data Migration and Validation Framework Python, SQL Server, PostgreSQL, AWS RDS, GitHub Jan 2025 – Apr 2025

Designed a reusable data migration framework in Python that extracted data from legacy SQL Server databases, applied transformation and anonymization rules, and loaded records into AWS RDS PostgreSQL

Built automated validation checks comparing row counts, column checksums, and sample record comparisons between source and target to verify migration accuracy

Documented the full system data architecture and process mapping for the migrated environment, providing a reference for ongoing platform operations

CERTIFICATIONS

AWS Certified Solutions Architect – Associate Amazon Web Services

Microsoft Certified: Azure Developer Associate (AZ-204) Microsoft

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