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Vishal Vats
Big Data | PySpark | Azure Data Engineer | Python | Talend | SQL | ETL | Dataware House | CICD Pipeline
About
Vishal Vats is a highly skilled and experienced Senior Data Engineer with a passion for learning and a strong background in Big Data technologies. With over 8 years of relevant experience, Vishal has developed expertise in a range of technologies including PySpark, Azure, Python, Talend, SQL, ETL, Data Warehouse, and Argo. As a self-motivated team player with excellent communication skills, Vishal has a track record of maintaining consistent delivery and actively interacting with clients. He has experience working with Agile Development and has developed data pipelines for finance domains, specifically in the stock market. Currently, Vishal is building a world-class intelligent data-driven and near real-time supply chain platform that provides end-to-end visibility into Supply Chain and Merchandise. He is employed as a Senior Data Engineer at L&T Infotech, where he is responsible for designing, developing, and maintaining data pipelines using a range of technologies, including Data Engineering, SQL, Python, ETL, Azure, AWS, Spark, Databricks, Big Data, AWS Glue, Apache Hive, Data Warehouse, Integration, Software Engineering, Snowflake, AI, Kafka, and Java. In addition to his work as a Senior Data Engineer, Vishal is also a Career Counsellor, where he uses his expertise in data analytics to provide solutions to clients' problems step-by-step. He listens to their problems, analyses their situations, and provides effective solutions. Overall, Vishal is a highly skilled and motivated professional with a passion for learning and a track record of delivering high-quality work. He is an asset to any team and is always looking for new challenges to take on.
Education Overview
Companies Overview
• lt infotech
• antuit
• smartstream technologies
• selfemployed
Experience Overview
9.7 Years
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Experience
Skills
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Accounting
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
analytics
Apache Hive
Apache Spark
Application Programming Interfaces (API)
architecture
Artificial Intelligence (AI)
auditing
Automation
Azure
Azure Data Factory
Azure Data Lake
Azure Databricks
Big Data
Business Intelligence (BI)
CI/CD
Collaboration
Communication
Core Java
Data Analysis
Data Engineering
Data Integration
Data Migration
Data Pipelines
Data Warehouse
Data Warehousing
Databricks
Design
Education
etl tools
Exploratory Data Analysis
Extract, Transform, Load (ETL)
finance
forecasting
Hive
Informatica
Integration
Kafka
Logic and Reasoning
Microsoft Azure
performance tuning
PostgreSQL
Pycharm
pyspark
Python
RDBMS
requirements analysis
security
Shell Scripting
Snowflake
Software Engineer
Software Engineering
SQL
Sqoop
Unix
unix shell scripting
Contact Details
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