Piyush Agar
Senior Data Architect at Kanerika Inc
Based in Indore, India
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Seniority
Staff
Department
Information Technology
Location
Indore
Industry
IT Services and IT Consulting
Company size
350
Contact information
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p•••••••@kanerika.com
Phone
5 credits+91 ••• •••• ••••
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Background
About Piyush Agar
Profile SummaryWorked on data and analytics for most of my 19+ years in the IT industry, experiencing many facets of business intelligence and achieving a high degree of technical excellence in Project Delivery, Program Management, Designing, Architecting, Pre-Sales and Consulting for the implementation of Data Platforms.Key Contributions & Current Experiences:• Involved in Data Platform Designing and Architecting.• Handling Customer communication.• Prepare POCs and MVPs. Customer Pitching and Demos.• Experience in handling Project Deliveries. Handle P/L and Budgeting.• Resource Handling and Performance Management.• Involved in GTM Activities. Worked Hand in Hand with Sales Rep across Globe.• Team Hiring/Expansion, Leading and Mentoring.• Optimization and Performance improvement.• Understand RFP requirements and work on Proposal.• Prepare estimates as per scoping of Project.• Leading research team to conduct technology exploration and build Accelerators.• Have Sales skills like handling Sales Calls, Lead to Closure, Guide Inside Sales Team in Lead Generation. Good experience in building GTM Strategy.• Run Cost-saving activities for Customers. • Future technology roadmap setup for Customers.Areas of Expertise:• Data Integration Extraction Transformation & Loading and Reporting• Data Management, Data Governance, Data Quality• Datawarehouse and Datalake Building• Pre Sales• Program Management and Handling Delivery• Research & InnovationTechnical Skills: • Big Data – Hadoop, MapReduce, Spark, HDFS, Pig, Hive, Oozie, Sqoop• Azure/AWS – Data Factory, Databricks, Azure SQL, Blob, ADLS Gen 2, Function App, Lambda Functions, Glue, S3• Datawarehouse – Snowflake, AWS Redshift, Azure Synapse• Programming – Databricks, PySpark, SCALA, Core Java• ETL – SAS Data Integration Studio, Informatica, Hive• Reporting – Power BI• Data Quality – SAS Data Management Studio, Collibra• Scheduling – Cron, Autosys• Programming Tool – Intellij• Build Tool – Maven• Version Control – SVN, VSS, Azure DevOps, Github• Database – Oracle Exadata• Platform – UNIXCertifications:• Azure Fundamentals• Azure Data Fundamentals• Azure AI Fundamentals• Azure Power Platform Fundamentals
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