Vineet Gadodia

About Vineet Gadodia

Experienced Data Engineer with a focus on ensuring high-quality, reliable and performant data systems. Skilled in designing and implementing data observability frameworks, monitoring, alerting and troubleshooting data issues in complex data pipelines. Proficient in using open table formats such as Apache Iceberg, tools like Grafana, Prometheus, and Splunk to monitor and optimize data systems. Strong analytical skills to identify root causes of data issues and provide solutions to mitigate them. Experienced in working with cross-functional teams to provide data-driven insights to stakeholders. Strong communication and interpersonal skills to collaborate effectively with technical and non-technical staff. Committed to staying current with emerging technologies and industry best practices in data observability.Working as Engineering Lead at Salesforce in the observability space. Designing and implementing a highly efficient and reliable observability system for a database that can provide near real time diagnostic data to the customers.[Data Observability]Worked as Staff Data Engineer at Cisco, productionizing ML algorithms. Working with cross functional teams to build a next-gen data platform in order to scale ML algorithm testings and make data easily available. Designed a service for detecting patterns out of streaming logs in real time and helping customers reach to the root cause of the problems.[Data Science]At Okta, I worked as Senior Data Engineer, improving the infrastructure and efficiency of the data warehouse by using advance technologies, creating and maintaining existing data pipelines and delivering high quality data for better decision making. Led the design of the new Business Intelligence infrastructure using the modern day workflow management system to support the growing needs of the company.[Data Warehousing]Previously, I was a Software Engineer at YellowPages, where I developed APIs for high-volume traffic, improved data pipelines to handle high-volume data and developed automated testing tools to help find critical bugs.[Data Management]Specialties:Languages: Python, JavaDatabases: Apache Iceberg (Open table format), Snowflake, AWS Redshift(Columnar), Cassandra(NoSQL), MySQL, Postgres, Oracle, Apache Kafka(Streaming).Search Engines: Solr/Lucene, Elastic SearchTools: Superset, Apache Airflow, Pentaho, Source versioning- Git, IDE-Eclipse, Jira, Jenkins, JUnitOthers: Cloud Computing, ETL, AWS Services, IOT, RabbitMQ, Spring Framework, Ruby on Rails, Gradle, Maven, Apache, Tomcat, Avro, Orc, Java Reactor framework.

Experience

1. Engineering Lead

   Salesforce

   Mar 2022 — Present · San Francisco, CA, US

Education

• University of Southern California

  Master's degree, Computer Science

  2012 — 2014

• Visvesvaraya Technological University

  Bachelor of Engineering (BE), Information Technology

  2008 — 2012

Skills

• Nosql
• Python
• Amazon Redshift
• Xml
• Owl
• Java
• Ruby
• Json
• Css
• Data Warehousing
• Web Development
• C++
• Mysql
• Distributed Systems
• C
• Hadoop
• Android
• Git
• Lucene
• Javascript
• Search Engine Technology
• Solr
• Rdf
• Test Automation
• Elasticsearch
• Data Analysis
• Cassandra
• Triples
• Geospatial Data
• Oracle
• Ajax
• Pentaho
• Spring Framework
• Html
• Rabbitmq
• Ruby on Rails
• Turtle
• Amazon S3
• Etl
• Data Quality