Jayanth Veeramachaneni

Experience

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  BRAINGRID TECHNOLOGIES PRIVATE LIMITED

  Jan 2020 - Jul 2020

  Data Engineer

  • Design: Designed and implemented a scalable AWS cloud infrastructure, enhancing operational efficiency by 30%through the deployment of services like EC2, S3, VPC, ELB, and RDS.• Automated provisioning and management of 100+ AWS resources using CloudFormation and Terraform, reducing deployment time by 40%.• Improved cloud security posture by implementing IAM, network ACLs, and security groups, resulting in a 50%reduction in unauthorized access attempts.• Utilized AWS CloudWatch to monitor services, achieving a 25% cost reduction by optimizing resourceutilization across 200+ instances.• Established disaster recovery plans that reduced potential downtime by 90%, ensuring business continuity with AWS S3 and Glacier for data backup.• Streamlined development workflows by integrating CI/CD pipelines using Jenkins and AWS Code Pipeline, leading to a 35% increase in deployment efficiency Show less

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  Tata Consultancy Services

  Nov 2020 - Dec 2022

  Data Engineer

  • Streamlined warehouse data processing for Johnson & Johnson by implementing Microsoft Azure andMicrosoft SQL Server, resulting in a 40% reduction in data processing timeframes.• Developed and implemented a multi-tiered data handling framework, enhancing report generation capabilities using Microsoft SQL Server and Microsoft Azure technologies.• Introduced a Z-order indexing technique for SQL join operations, improving time complexity from O(N^2) to O(NlogN) and significantly boosting query performance and overall database efficiency.• Designed and implemented a custom architecture combining Python, SQL, and Spark within AzureDatabricks, integrated with Azure Data Factory, leading to a 35% increase in data processing efficiency.• Created a data archival strategy by developing pipelines to purge excess data, reducing pipeline operation times from several hours to 1.5-2 hours.• Developed an event-driven file processing architecture using messaging queues, achieving a 50% reduction in processing time. Show less

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  PayPal

  Sept 2023 - Jul 2024

  Data Engineer

  • Managed the integration of GCP BigQuery, optimizing cloud resources to improve data storage andprocessing capabilities while ensuring cost efficiency.• Automated ETL processes using Apache NiFi and GCP Data Fusion, streamlining data transformations to facilitate cleaner and more reliable data inputs.• Integrated advanced BI tools Looker, enhancing data visualization and enabling sophisticated reporting for better decision-making.• Enforced robust security protocols using GCP Service Account and KMS to safeguard sensitive financial data and comply with industry regulations. Show less

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  Block

  Sept 2024 - now

  Data Engineer 2