Vinod Gardas
Senior Big Data Consultant | Cloud Transformation | Data Platform | Cloud Migration
- Role
- Lead Big Data Engineer at American Express
- Location
- Chandler, AZ, US
- LinkedIn followers
- 500 followers
About Vinod Gardas
Vinod Gardas is a Sr. Big Data Consultant in Analytics & Cognitive practice, with over 9 years of IT, project implementation experience across diverse industries such as Banking, Health Care, Retail, Travel, and Insurance, coupled with specialized expertise in Data Engineering, Data Management, Data Governance, and Analytic SolutionsI have successfully managed, architected, and delivered data platform modernization and cloud enablement projects, leveraging Cloud Platforms including AWS, Azure, GCP, Snowflake, and Databricks. My proficiency lies in analysis, design, leading and development using Big Data technologies such as Spark, Spark-Streaming, Python, Scala, SQL, and cloud platforms including Azure, GCP, and AWS.I have a proven track record in building ingestion pipelines to seamlessly integrate data from diverse databases and complex data sources into Data Lakes on Azure, GCP, and AWS, utilizing tools like Spark, Python, and Scala. Additionally, my strong background in AWS cloud services, including EC2, VPC, S3, IAM, RDS, and others, along with hands-on experience using Azure/AWS/Google using Apache Spark for migration strategies and roadmaps, make me well-equipped to tackle the challenges in any organization.Moreover, my expertise extends to designing and implementing efficient data models and schemas in Azure and Google BigQuery, optimizing data storage, querying, and analysis for maximum performance and cost-effectiveness within the GCP and Azure environment\'s. I am skilled in developing and optimizing data pipelines using Apache Spark, Google Dataflow, and orchestrating these pipelines seamlessly using tools like Cloud Composer for streamlined workflow management.Furthermore, my experience in programming languages such as Scala, Python, SQL, and Hive, coupled with proficiency in Azure products including Azure Data Lake Store, HDInsight, Cosmos DB, Power BI, Data Factory, and Databricks, enables me to provide comprehensive support in deploying code, making customized changes to data feeds and mappings, and collaborating effectively with QA teams.
Experience
Lead Big Data Engineer
Feb 2025 — Present · Phoenix, AZ, US
Education
Concordia University-Wisconsin
Master's degree, Information Technology
JNTUH College of Engineering Hyderabad
Bachelor's degree
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