KRANTHI DAS NALLAGATLA
Austin
Summary
Delivered scalable data pipeline solutions and event-driven streaming architectures that improved data accessibility. ,Implemented cloud-native infrastructure leveraging AWS services to streamline operations and support data engineering workflows. ,Achieved successful real-time data streaming integrations using Apache Kafka, enhancing system performance and reliability.
Overview
1
1
Certification
3
3
years of professional experience
Work History
Data Engineer Intern
Talent Clustr
Longmont, CO
09.2025 - 12.2025
- Authored complex SQL queries across multiple relational databases to extract, clean, and analyze large-scale operational datasets, leveraging AWS for data storage and Python for data manipulation, delivering insights that supported internal reporting and data-driven decision-making, resulting in a 30% increase in reporting efficiency.
- Designed and implemented scalable data pipelines using Apache Kafka and Terraform to automate ingestion and transformation of raw data, improving downstream data availability, consistency, and time-to-insight for analytics stakeholders by 50%, while employing Agile methodologies for iterative development and collaboration.
- Worked with cloud-based data services including AWS S3, Glue, Athena, Kinesis, IAM, and Azure Data Factory to support scalable data processing and analytics workflows.
- Built and maintained Tableau, Power BI, and QuickSight dashboards using SQL-based datasets, enabling leadership and business users to track KPIs and improve reporting efficiency.
- Authored complex, multi-table SQL queries across several relational databases to extract, validate, and consolidate operational data, directly powering internal reporting dashboards and data-driven decision workflows.
- Partnered with cross-functional stakeholders using Agile methodology to capture data requirements, iterate on pipeline architecture, and align engineering output with business reporting objectives.
AWS Cloud Engineer
Microfitch
Hyderabad, India
05.2023 - 07.2024
- Architected and provisioned scalable AWS cloud infrastructure using EC2, S3, and Lambda to support business-critical applications and high-throughput data workloads, reducing manual operational effort through serverless event-driven automation.
- Built CloudWatch monitoring dashboards with automated alerting rules to track real-time system health, resource utilization, and cost-efficiency metrics, increasing observability and enabling proactive incident response.
- Led a project to design a multi-region failover strategy, ensuring business continuity and reducing potential downtime during regional outages by 50%.
- Collaborated with cross-functional teams to establish a CI/CD pipeline using Jenkins and GitHub Actions, streamlining the deployment process and improving release frequency by 25%.
- Implemented serverless data processing workflows using AWS Lambda triggered by S3 events, eliminating persistent compute requirements and enabling responsive, cost-efficient pipeline execution.
- Developed and tuned complex SQL queries against relational databases to support performance analysis, operational reporting, and business intelligence use cases across internal engineering and business teams.
- Contributed to cloud cost governance initiatives by analyzing CloudWatch utilization data and rightsizing EC2 instances, directly reducing compute spending across production environments.
Education
Master of Science - Information Systems
University of Mary Hardin-Baylor
Belton, TX05.2026
Skills
Python
SQL
MySQL
PostgreSQL
NoSQL
MongoDB
SparkSQL
ETL Pipelines
Data Modeling
Data Warehousing
Data Quality
Data Lineage
Batch Processing
Large Dataset Processing
Real-Time Data Streaming
Data Ingestion
Data Transformation
Schema Design
Microsoft SQL Server
Apache Kafka
Producer APIs
Consumer APIs
Topic Design
Partitioning
Consumer Groups
Broker Configuration
Offset Management
Kafka Connect
Schema Registry
Event-Driven Architecture
AWS Cloud
EC2
S3
Lambda
RDS
CloudWatch
IAM
VPC
Cost Optimization
Infrastructure Provisioning
Complex multi-table queries
Aggregations
Performance tuning
Kafka client libraries
Data processing scripts
Power BI
Tableau
Microsoft Excel
Dashboard Developments
Business Intelligence
Git
GitHub
Jupyter Notebook
MS Access
Distributed Systems Design
Certification
- AWS Certified Cloud Practitioner - Amazon Web Services
- AWS Certified Data Engineer - Associate
- Confluent Certified Data Streaming Engineer
Work Authorization
F-1 OPT - Eligible to work in the United States without sponsorship; STEM OPT extension eligible
Timeline
Data Engineer Intern
Talent Clustr
09.2025 - 12.2025
AWS Cloud Engineer
Microfitch
05.2023 - 07.2024
Master of Science - Information Systems
University of Mary Hardin-Baylor