Akanksha Shelke
Jersey City,NJ
Summary
Data Analytics Consultant with expertise in AWS, achieving a 30% increase in data processing efficiency. Proficient in Python programming and creating scalable data pipelines, enhancing customer satisfaction through customized analytics solutions. Experienced in mentoring teams and promoting cross-functional collaboration to drive results. Demonstrated ability to help clients optimize data usage, improve operational efficiency, and execute large-scale migrations from legacy systems.
Overview
8
8
years of professional experience
4
4
Certification
Work History
Data Analytics Consultant
Amazon Web Services
Jersey City, NJ
04.2024 - Current
- Increased data processing efficiency by 30% through development of scalable data pipelines with AWS services.
- Achieved a 25% boost in customer satisfaction by delivering tailored analytics solutions collaboratively.
- Reduced manual reporting efforts by 40% via automation of data collection using AWS Lambda.
- Enhanced compliance and data integrity through implementation of robust governance frameworks.
- Integrated third-party APIs into analytics platforms, expanding data accessibility for improved insights.
- Facilitated seamless transitions to AWS cloud environments with strategic data migration execution.
- Created a text-to-SQL agent to automate queries, improving non-technical user access to data.
- Guided junior analysts in adopting AWS analytics best practices, elevating overall team performance.
Database Consultant
Amazon Web Services
Jersey City, NJ
05.2020 - Current
- Led large-scale AWS database migration, transferring over 250 terabytes with minimal downtime.
- Conducted assessments of legacy systems, creating tailored strategies that reduced costs and improved performance.
- Collaborated with teams to design robust architecture on Amazon RDS and Aurora for enhanced scalability.
- Automated migration workflows using AWS Database Migration Service, saving 20 hours of manual effort weekly.
- Implemented security measures and compliance protocols, ensuring adherence to industry standards.
- Trained client IT staff on AWS database management best practices for independent maintenance.
- Created documentation for migration processes, providing clients with clear future guidelines.
- Analyzed performance metrics, demonstrating threefold improvement in query response times to stakeholders.
Cloud Support Engineer - Database
Amazon Web Services
Herndon, VA
01.2018 - 04.2020
- Resolved complex customer issues with AWS database services, achieving 100% resolution rate within SLAs.
- Collaborated with cross-functional teams to troubleshoot and reduce database performance incidents.
- Optimized customer database architectures by implementing best practices, enhancing performance and reducing costs.
- Developed technical documentation and knowledge base articles, improving response times and troubleshooting accuracy.
- Conducted customer training sessions on AWS database services to enhance user experience and utilization.
- Acted as liaison between customers and internal teams, ensuring swift resolution of escalated issues.
- Analyzed usage patterns and provided recommendations for scaling database solutions, resulting in cost savings.
- Mentored junior engineers to elevate team skills and improve service quality.
Education
M.S - Computer Information Systems
Pace University
New York, NY05.2017
B.E - Information Technology
Mumbai University
Mumbai, MH, India06.2013
Skills
- Python programming
- SQL development
- Data pipeline creation
- Cloud architecture
- Automation and orchestration
- Data governance
- API integration
- Database migration
- Performance optimization
- Cost reduction strategies
- Technical documentation
- Effective communication
- Problem solving
- Mentorship and training
- Cross-functional teamwork
- Compliance management
- Data warehousing
- ETL development
- Data quality assessment
- Relational databases
Certification
- AWS Certified Cloud Practitioner
- AWS Certified AI Practitioner
- AWS Certified Data Engineer – Associate
- AWS Certified Data Analytics – Specialty
Core Competencies
Python, SQL, PySpark, Shell Scripting, YAML, JSON, Java (basic), AWS CloudFormation, Terraform, GitHub, GitLab, Amazon RDS, Oracle, Microsoft SQL Server, Amazon Aurora, Amazon DynamoDB, Amazon Redshift, JIRA, Scrum methodologies, Linux (Ubuntu, Red Hat), Windows Server, MacOS, AWS, Azure, Data Governance, Data Migration, Cloud Architecture, GenAI Agent Integration, Automation & Orchestration with AWS
Timeline
Data Analytics Consultant
Amazon Web Services
04.2024 - Current
Database Consultant
Amazon Web Services
05.2020 - Current
Cloud Support Engineer - Database
Amazon Web Services
01.2018 - 04.2020
M.S - Computer Information Systems
Pace University
B.E - Information Technology
Mumbai University
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