Santhoshi Vuturi
Senior Data Engineer Cloudflare | Ex-Nike
- Role
- Senior Data Engineer at Cloudflare
- Location
- Beaverton, OR, US
- LinkedIn followers
- 500 followers
About Santhoshi Vuturi
I’m a very fierce Hadoop Developer with a strong technical background on things like analysis of huge datasets for understanding complex data dynamics and their direct impact on the business, always looking for answers in data that make a difference. I have 11+ years of experience in IT with 8years as dataengineer,2 years as data analyst and 1 year as business analyst. My technical skills range from developing code for capturing, cleaning and transforming data to performing descriptive and predictive analysis and visualising results to ensure actionable insights. Extensive experience in Agile and Waterfall environments.Excellent communication, able to adapt to audience, speaking high to low-level, and technical knowledge to business. Highly analytical, data and process focused, drives decision making based on facts and data.The technologies and tools I\'ve used in my daily work include:BigData: HDFS, Hive, Pig, SparkScala, Python, Sqoop, Oozie, Beeline, SparkSQL.Data Streaming: Spark Streaming, KafkaNoSQL Databases: HbaseCloud Services: AWS (EC2, EMR, S3)Relational Databases: My SQL Server,TeradataAnalysis and Reporting Tools and Solutions:TableauScripting Languages:JSON,HTML,XML,Shell ScriptingI always update myself to the latest versions of the components like Detailed understanding of latest spark version 2.4.2
Experience
Senior Data Engineer
Sep 2022 — Present · CA, US
Built utilities in Python and Scala for data validation, schema reconciliation, transformation, and job orchestration.• Designed and maintained robust ETL pipelines to migrate structured and semi-structured data from diverse sources (PostgreSQL, APIs, flat files) into Snowflake, ensuring high throughput and reliability.• Architected scalable Snowflake environments by setting up optimized database structures, schemas, and virtual warehouses to support large-scale analytics workloads.• Drove system observability and reliability by setting up logging, monitoring, and alerting using GCP tools and custom dashboards.• Implemented data quality checks and SLA monitoring across all pipelines with automated GChat alerting for failures, anomalies, or delayed job completions, Schema Changes, Addition of any PII columns reducing time-to-detection and improving reliability.• Defined and executed data migration strategies including source-to-target mappings, transformation logic, and validation rules, ensuring smooth transition with minimal downtime.• Monitored Snowflake environments using query profiling, warehouse usage metrics, and access control audits to optimize performance, control costs, and maintain security compliance.• Led end-to-end data migration projects, moving large-scale datasets from on-premise systems and cloud databases into Snowflake, ensuring minimal business disruption.• Defined and implemented data mapping strategies and transformation logic across diverse data sources, enabling accurate and consistent migrations.• Conducted data profiling and gap analysis to identify data quality issues and ensure clean, validated inputs for migration into the Snowflake environment.• Developed automated ETL pipelines to support incremental and full loads during the migration process, with built-in checkpoints and retry mechanisms.
Education
VRS [ Vivekananda Residential School ]
High School
Vignan Institute of Technology and Science
Bachelor's degree, Information Technology
2010 — 2014
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