SHREYA PANDA

Software Engineer

Bengaluru, Karnataka, India1 yr 11 mos experience

Key Highlights

Proven expertise in AWS cloud services management.
Skilled in automating tasks with Python and SQL.
Strong background in cloud infrastructure security.

Stackforce AI infers this person is a skilled AWS Cloud Engineer with a focus on Fintech infrastructure.

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Skills

Core Skills

Amazon Web Services (aws)Cloud Computing

Other Skills

AWS EC2AWS S3AWS RDSAWS IAMSQLPythonUnixGitAWS Cloud PractitionerAmazon Relational Database Service (RDS)Cloud InfrastructureAmazon DynamoDBPostgreSQLMySQLOracle SQL Developer

About

AWS Cloud Engineer with 1.5 years of experience specializing in the deployment and maintenance of scalable cloud environments. Proven ability to manage core services including EC2, S3, RDS and IAM. Skilled in Linux/Unix system administration and Git workflows, leveraging Bash/Python scripting to automate repetitive tasks and utilizing SQL for database management and troubleshooting.

Experience

1 yr 11 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 11 mos

Current Experience

Tata consultancy services

AWS Cloud Engineer

Jul 2024 – Present · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

Cloud Operations | Global Financial Services Client
Provisioned and managed AWS EC2 instances, ensuring high uptime by monitoring system health and quickly resolving performance issues.
Configured S3 and RDS (Databases) to handle data securely, using automated backups and life
cycle rules to prevent data loss and control costs.
Enforced strict security standards using AWS IAM, creating specific roles and permissions to ensure
only authorized users could access sensitive resources.
Developed and optimized complex SQL/Hive queries for large-scale data processing, translating
IBM DataStage mappings into production-ready workflows.
Used Python for basic data processing and validation tasks, including file handling, data
formatting, and simple automation to support data workflows.
Utilized Unix, Tectia, and Git (via Git Bash) for secure data operations, version control, and
GitHub check-ins using standard Git commands.
Built Denodo views to integrate, transform, and deliver unified datasets from heterogeneous sources
for analytics and data visualization.