0
Publications
0
Followers
0
Following
2
Questions
About
Innovative and results-driven Lead Data Engineer with extensive experience in developing, automating, and optimizing
mission-critical applications and deployments. Proven expertise in setting up Databricks clusters and providing ETL solutions
for data extraction, transformation, and loading (ETL), leading to improved system efficiencies and cost reductions. Skilled in
implementing DevOps practices to ensure continuous delivery and high software quality, leveraging advanced configuration
management tools, continuous integration, and cloud services (AWS and Azure). Expert in designing, developing, and
migrating Java and Python applications to private Azure Cloud networks, automating entire infrastructures to support strategic
business objectives.
Skills & Expertise
Kubernetes
Big Data Analytics
DevOps
Continuous Delivery
Cloud computing
Configuration Management
ETL solutions
Data transformation
AWS Services
Application development
Azure services
Infrastructure automation
Java applications
Python applications
Containerization
Cloud-native architectures
Databricks clusters
Cost optimization
System efficiencies
Research Interests
Automation
Data Analytics
Big Data
Technical Proficiency
Cloud Migration
Big data technologies
CI/CD pipelines
Cloud Services
Cloud engineering
Data infrastructure
Mission-critical applications
DevOps approach
Application migration
Modern cloud-native architectures
Databricks solutions
Certifications (Databricks
Azure)
Enterprise-scale solutions
Cloud-based solutions
Connect With Me
Experience
Lead Big Data Engineer
- Project Description: Public Sector Large Deal Tracker o Developed the Public Sector Large Deal Tracker, an automated solution for monitoring revenue and expenses for public sector agencies partnered with AT&T. o This collaboration between AT&T’s Chief Data Office and Public Sector groups includes a monthly Revenue Report, a quarterly Profit and Loss (P&L) Report, and an ADW Report for comprehensive data insights. o The project streamlines financial reporting and enhances decision-making for top public federal agencies. Project Description: Fiber Accelerator o Identified customers that salespersons should prioritize to convert to fiber users, based on AT&T fiber coverage and their current internet subscription status. o Focused on customers whose locations have fiber coverage but are not yet fiber users. o Built dashboards that provide strategic insights for sales teams, increasing fiber adoption by analyzing data on current subscriptions and fiber availability. o Developed solutions to monitor contract statuses, enabling targeted contract renewal strategies with actionable insights into contract expirations. Involved in requirement gathering, business analysis, and translating business requirements into technical design in Hadoop and Big Data. Led the setup of data pipelines in Databricks, orchestrating end-to-end data workflows for efficient data processing and analysis. Managed Databricks clusters, ensuring optimal performance, scalability, and reliability of big data processing jobs. Developed automation pipelines to build and deploy applications without downtime for efficiency. Configured Kubernetes clusters to run web applications, including configuring load balancers and network securities to access applications securely.
Education
Rivier University
Jawaharlal Nehru Technological University, Hyderabad (JNTUH)
dd