Anusha Gowrisetti

Data Engineer with almost 5 years of experience in designing, building, and optimizing scalable data pipelines across cloud and on-premises environments. Strong expertise in Snowflake features including Snowpipe, Time Travel, Resource Monitors, RBAC, and Zero-Copy Clone for efficient data management and analytics. Skilled in DBT (Data Build Tool) for modular SQL transformations, dimensional modeling, automated testing, and version-controlled workflows in Snowflake.

Hands-on experience with Azure Databricks (PySpark, Delta Lake) for large-scale data processing, structured transformations, and seamless integration with Azure Data Lake & Synapse. Proven background in IBM Datastage for ETL development, performance tuning, error handling, and migration of legacy pipelines to modern cloud-native architectures. Proficient in Python (pandas, error handling, automation) for custom ETL logic, data wrangling, and integration with cloud SDKs.

Strong knowledge of data governance, quality checks, and cost optimization strategies for enterprise-scale data engineering projects. Adapt at collaborating with cross-functional teams to deliver end-to-end data solutions supporting analytics, reporting, and business intelligence.

Data Engineer - Infosys Ltd - Hyderabad

(2021-09)

• Designed and implemented scalable data pipelines in Snowflake, using Snowpipe, Time Travel, Resource Monitors, RBAC, and Zero-Copy Clone.
• Built modular SQL transformations with DBT (Data Build Tool) for dimensional modeling, automated testing, and CI/CD integration.
• Familiar with Delta Lake concepts in Azure Databricks for maintaining data consistency and reliability.
• Exposure to PySpark for handling large datasets and performing basic transformations (filtering, joins, aggregations).
• Used Databricks integration with Azure Data Lake/Synapse for simple data processing and reporting.
• Designed and developed ETL workflows in IBM Datastage for extracting, transforming, and loading data from multiple sources into target systems.
• Implemented error handling, restartability, and logging mechanisms to ensure reliable and fault-tolerant pipelines.
• Performed performance tuning of Datastage jobs by optimizing partitioning, parallelism, and resource utilization.

Data Engineer - Project 1 Snowflake Data Engineer - Infosys Limited - Hyderabad

(2023-01)

Client: Cox Enterprises

• Migrated legacy ETL workflows from DataStage to Snowflake, aligning with cloud standards.
• Developed and enhanced ETL workflows to support new data architecture post-migration.
• Collaborated with QA and business teams to validate data requirements and resolve defects during UAT. Documented migration steps, data models, and deployment procedures for maintainability.
• Performed high-performance bulk data ingestion into Snowflake using internal and external (S3) stages with optimized COPY commands.
• Used advanced Snowflake features — Time Travel, Zero-copy Cloning, Data Masking, Stored Procedures, and Streams to enhance data operations.
• Built and managed dbt incremental models with clear YAML setups, simplified complex transformations, and improved performance by 25%
• Implemented CI/CD pipelines in GitLab for automated testing and deployments.

Data Engineer - Project 2 - Infosys Limited - Hyderabad

(2022-01 - 2022-12)

Client: GlobalMart Solutions – Role: Data Engineer

• Designed and developed ETL workflows in IBM Datastage for extracting, transforming, and loading data from multiple sources into target systems.
• Implemented error handling, restartability, and logging mechanisms to ensure reliable and fault-tolerant pipelines.
• Performed performance tuning of Datastage jobs by optimizing partitioning, parallelism, and resource utilization.
• Migrated legacy ETL processes to modern cloud platforms (Azure Blob Storage, ADLS, Synapse) using Datastage connectors.
• Integrated Datastage with control tools like Control-M for scheduling and monitoring batch jobs.
• Applied data quality checks and validation rules to maintain accuracy and consistency across datasets.
• Collaborated with cross-functional teams to deliver end-to-end ETL solutions supporting analytics, reporting, and BI.

Data Operations - Project 3 - Infosys Limited - Hyderabad

(2021-09 - 2021-12)

Client: Telenet (Telecommunication Domain)

• Handles incident management and resolve data issues raised by business users.
• Analyzed ETL pipelines and debugged code to fix data anomalies.
• Worked in DataStage jobs and UC4 scheduler to monitor and resolve failures.
• Coordinated with source system teams and dataset owners for issue resolution.

Bachelor of Science - Computer Science - Acharya Nagarjuna University (2017 - 2021)

Intermediate - MPC - Sri Chaitanya Junior College (2016 - 2018)

High School - SSC - Margadarsi High School (2014 - 2015)