Sharath Vudutha
@sharathvudutha
Seasoned Data Scientist with expertise in cloud data solutions.
What I'm looking for
I am a seasoned Data Scientist with over 5 years of experience in building and optimizing data infrastructure on cloud platforms such as Azure, AWS, and GCP. My expertise lies in designing robust ETL pipelines, managing large-scale data warehouses, and implementing data-driven solutions that support analytical and business intelligence needs.
Throughout my career, I have developed custom multi-threaded ingestion jobs and designed ETL pipelines using Azure Data Factory and Databricks. I have a strong background in advanced data analysis, performance tuning, and CI/CD pipeline management. My experience spans across various industries, where I have successfully collaborated with cross-functional teams to deliver high-quality data solutions that enhance decision-making processes.
Experience
Work history, roles, and key accomplishments
Sr. Data Scientist
Insta Global Source Pvt Ltd
Aug 2020 - Jul 2022 (1 year 11 months)
Led the development of custom multi-threaded ingestion jobs and designed ETL pipelines using Azure Data Factory and Databricks. Implemented infrastructure-as-code with Terraform, optimized data models in Snowflake, and automated CI/CD pipelines with Jenkins. Developed streaming applications and performed advanced data analysis using SQL and PySpark.
Data Scientist
EDGEROCK Software Solutions Pvt Lmt
Jun 2017 - Jul 2020 (3 years 1 month)
Maintained and enhanced Spark processing jobs, implemented ETL pipelines with metadata validation, and developed automated data pipelines using Azure Data Factory and Databricks. Built CI/CD systems with Jenkins and Docker, and created dashboards for resource utilization tracking.
Education
Degrees, certifications, and relevant coursework
Christian Brothers University
Master's, Computer Information Systems
2022 - 2024
Pursuing a Master's degree in Computer Information Systems, focusing on advanced data analytics, ETL processes, and cloud-based data solutions. The program emphasizes practical experience in building and managing data pipelines and utilizing various data visualization tools.
Tech stack
Software and tools used professionally
Azure Synapse
AWS Glue
Apache Flink
Talend
SAS
Data Studio
ggplot2
Microsoft Azure
GitHub
Kubernetes
Jenkins
PyQt
PySpark
DB
Sqoop
MySQL
MongoDB
Cassandra
Hadoop
HBase
Gmail
Django
Yarn
Databricks
Terraform
Jira
Java
JSON
XML
Logstash
Kibana
Nagios
Zookeeper
Windows
Elasticsearch
Avro
Azure SQL Database
Amazon VPC
Apache Tomcat
Apache Beam
Azure Analysis Services
s3-lambda
SQL
Azure Cosmos DB
Availability
Location
Authorized to work in
Job categories
Skills
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