I am a data engineer with over a decade of experience designing and delivering cloud-native data platforms, ETL pipelines, and analytics solutions across financial services, hospitality, and telecom domains. I specialize in Snowflake, DBT, FiveTran, and Matillion, and I architect real-time data pipelines on AWS and GCP while ensuring data quality and governance. Collaborating with data scientists, BI teams, and business stakeholders, I optimize SQL performance, implement scalable data models, and automate end-to-end data flows to empower fast, reliable decision-making.

Venkatasai Ashritha Sunku

I am a data engineer with over a decade of experience designing and delivering cloud-native data platforms, ETL pipelines, and analytics solutions across financial services, hospitality, and telecom domains. I specialize in Snowflake, DBT, FiveTran, and Matillion, and I architect real-time data pipelines on AWS and GCP while ensuring data quality and governance. Collaborating with data scientists, BI teams, and business stakeholders, I optimize SQL performance, implement scalable data models, and automate end-to-end data flows to empower fast, reliable decision-making.

Available to hire

I am a data engineer with over a decade of experience designing and delivering cloud-native data platforms, ETL pipelines, and analytics solutions across financial services, hospitality, and telecom domains. I specialize in Snowflake, DBT, FiveTran, and Matillion, and I architect real-time data pipelines on AWS and GCP while ensuring data quality and governance.

Collaborating with data scientists, BI teams, and business stakeholders, I optimize SQL performance, implement scalable data models, and automate end-to-end data flows to empower fast, reliable decision-making.

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Experience Level

Expert
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Language

English
Advanced

Work Experience

Sr. AWS Data Engineer at Credit Suisse
October 1, 2022 - October 31, 2025
Integrated and maintained robust ETL pipelines using Snowflake, DBT, FiveTran, and Matillion to support analytics across financial domains. Configured and automated data ingestion workflows via Matillion and orchestrated job runs through Apache Airflow for cloud-native operations. Developed reusable SQL models and dbt macros to standardize data transformation logic across internal and client-facing data products. Created external tables with partitions using Hive, AWS Athena, and Redshift for efficient data organization and querying. Optimized Snowflake performance through warehouse sizing, result caching, materialized views, and efficient SQL tuning strategies. Developed modular DBT models to streamline transformations, enforce data quality checks, and improve transparency across the data lifecycle. Designed and maintained data pipelines using Snowflake to ensure seamless data integration and real-time analytics for business intelligence. Created and optimized Snowflake data models us
Azure Data Engineer at Hilton Memphis, TN
September 30, 2022 - September 30, 2022
Developed ETL pipelines in Snowflake using DBT and scheduled data loads from multiple ERP systems using FiveTran connectors. Applied Matillion for orchestrating and transforming datasets across finance, HR, and customer domains for global MDM integration. Built reusable DBT models for address cleansing, hierarchy flattening, and KPI standardization, improving maintainability and audit traceability. Designed and implemented scalable data pipelines using Apache Airflow and Python to automate ETL processes across diverse data sources. Created profiles, PDO, LDO and address doc shared objects; integrated Graph-based data models for matching and deduplicating customer master records using IDQ and Snowflake CTEs. Implemented automated DBT tests to validate data quality and ensured governance through data lineage. Implemented real-time data analytics solutions using Databricks and Spark for fast data processing and insights.
Data Engineer at Verizon
November 30, 2020 - November 30, 2020
Designed and deployed Snowflake ETL pipelines with DBT; Implemented FiveTran to ingest from SQL Server and Salesforce into Snowflake; Configured and maintained Matillion orchestration flows for dependency management and monitoring across multiple business units. Constructed production-grade data pipelines across SQL Server, DynamoDB, Azure SQL, Data Warehouse, and Data Lake. Authored documentation for DBT models and established data lineage. Tuned SQL queries and developed PySpark code to read Parquet files from Azure Data Lake into Azure Databricks, loading transformed data into Azure SQL databases. Created ETL packages to load data from Excel files and RDBMS sources, and built dashboards using Power BI. Implemented CI/CD automation and collaborated with analytics teams to feed Graph RAG inputs into ML pipelines. Ensured data governance and partnered with NoSQL stores (Couchbase, DynamoDB) and streaming platforms (Kafka, Kinesis).
Data Quality Analyst at Fidus Professionals Pvt Ltd
December 31, 2017 - December 31, 2017
Worked as ETL developer in Enterprise Information Model. Implemented Informatica Data Quality (IDQ) CDC, profiling, data cleansing, and scorecards; built data mappings and rules; integrated SQL queries with BI tools for reporting; gained experience with Hive-based data quality using Informatica BDM and DVO. Generated weekly score cards to monitor data health, authored test scripts for unit validation, and collaborated with business users to translate requirements into technical specifications. Maintained security roles and documented data quality processes across environments.

Education

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Qualifications

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Industry Experience

Financial Services, Professional Services, Software & Internet, Telecommunications