Sindhura Sammeta

Project Title: Cloud-Based CRM Implementation

Led implementation of cloud-based CRM on GCP, scalable infrastructure, efficient data models, and optimized performance for enhanced customer management.

Roles and Responsibilities:

• Conducted detailed analysis of business requirements through collaboration with stakeholders to understand specific needs and pain points.
• Translated business requirements into comprehensive technical specifications and user stories, ensuring alignment between business objectives and technical implementation.
• Leveraged Google Cloud Platform (GCP) services such as Compute Engine, Cloud Storage, and Networking to design and establish a robust, scalable infrastructure for hosting the CRM application.
• Implemented infrastructure as code (IaC) best practices using tools like Terraform or Deployment Manager to automate provisioning and configuration management.
• Designed and implemented efficient data models to manage customer data effectively, considering factors such as data volume, velocity, and variety.
• Integrated the CRM system with external data sources using GCP tools like Cloud Dataflow and Cloud Pub/Sub to ensure seamless data flow and synchronization.
• Implemented robust security measures to ensure compliance with data protection regulations such as GDPR, including role-based access control (RBAC), data encryption, and audit logging.
• Conducted regular security assessments and vulnerability scans to identify and mitigate potential security risks.
• Customized the CRM application according to specific business requirements, configuring user interfaces, workflows, and automation rules to optimize user experience and operational workflows.
• Implemented user feedback mechanisms and conducted usability testing to continuously improve the CRM application based on user insights.
• Optimized system performance and scalability by fine-tuning database queries, implementing caching mechanisms, and leveraging GCP's autoscaling capabilities.
• Established monitoring and alerting systems using GCP Stackdriver to proactively identify and address performance issues, ensuring high availability and reliability of the CRM application.
• Provided comprehensive training sessions and ongoing support to end-users, including training materials, documentation, and user guides.
• Addressed user inquiries and issues promptly, collaborating with cross-functional teams to troubleshoot and resolve technical issues.
• Utilized a wide range of technologies and tools including Google Cloud Platform (GCP) services, CRM platforms, database technologies, and programming languages to deliver a successful cloud-based CRM solution.
• The successful deployment of the cloud-based CRM solution on Google Cloud Platform resulted in improved customer data management, enhanced operational efficiency, and better customer relationship management capabilities for General Mills. The project contributed to increased customer satisfaction, streamlined processes, and better decision-making based on actionable insights derived from the CRM system.

Project Title: Real-time Data Analysis Platform Implementation

Roles and Responsibilities:

• Led the implementation of a real-time data analysis platform on Google Cloud Platform (GCP) using Dataproc, BigQuery, and Google Cloud Storage (GCS).
• Designed and developed data pipelines using Apache Spark on Dataproc for real-time data processing and analysis.
  Utilized BigQuery for storing and querying large datasets, optimizing performance and cost-efficiency.
• Implemented data ingestion workflows from various sources into GCS, ensuring data integrity and reliability.
• Developed custom data processing algorithms and transformations to extract valuable insights from streaming data.
• Integrated third-party APIs and external data sources into the platform for comprehensive data analysis.
• Implemented monitoring and alerting systems to ensure data pipeline reliability and performance.
• Collaborated with cross-functional teams to understand business requirements and translate them into technical solutions.
• Provided training and documentation to stakeholders on platform usage and best practices.