Govardhan Reddy Moramreddy

Data Engineer

Detroit, US.

About

Highly accomplished and results-driven Data Engineer with 3+ years of experience in designing, optimizing, and deploying robust data pipelines and cloud-based solutions. Proven expertise in AWS, GCP, and Azure platforms, with a strong command of ETL frameworks (Apache Airflow) and data visualization tools (Tableau, Power BI). Adept at automating processes, enhancing data quality, and driving operational efficiencies, as demonstrated by quantifiable improvements in pipeline efficiency and data accessibility. Seeking to leverage advanced data engineering skills to solve complex challenges and contribute to innovative data-driven initiatives.

Work

Brooksource

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Data Engineer Intern

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Summary

Contributed to data analysis and reporting initiatives, focusing on enhancing data accessibility and stakeholder insights.

Highlights

Developed dynamic Power BI dashboards and reports with parameterized queries, enabling advanced analysis of relational database systems and enhancing user interactivity.

Improved internal data accessibility, reducing the time required for stakeholders to derive operational insights and make informed decisions by 25%.

Infosys Limited

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Data Engineer

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Summary

Responsible for designing, developing, and optimizing data pipelines and cloud infrastructure to ensure efficient data processing and delivery.

Highlights

Engineered and optimized CI/CD pipelines on AWS and GCP, streamlining application deployment, release workflows, and bolstering system reliability.

Designed and maintained robust Apache Airflow ETL workflows, automating data orchestration and delivery and improving data pipeline efficiency by 10%.

Orchestrated complex ETL workflows using Airflow DAGs, enhancing pipeline efficiency by 25% through advanced error handling for edge cases.

Led AWS infrastructure enhancements leveraging EC2, Lambda, and S3, significantly strengthening cloud security with IAM policies and reducing unauthorized access incidents.

Automated anomaly detection and data quality validation in Python-driven ETL pipelines, increasing operational efficiency by 25% through proactive issue resolution and monitoring.

Education

Central Michigan University

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Master of Science Information Systems Grade: 3.5/4

Courses

Data Visualization

Data Management

KL University

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Bachelor of Technology Electronics and Communication Engineering Grade:

Languages

English

Fluent

Certificates

AWS Certified Cloud Practitioner

Amazon Web Services (AWS)

Certified as Infosys Apache Kafka

Infosys

Certified as Infosys Spark Professional

Infosys

Big Data Developer certification

Infosys

Skills

Cloud Platforms

Firebase.

Programming Languages

Python, SQL.

Programming Languages

Java, Scala.

Programming Languages

C, R.

Cloud Platforms

AWS, Amazon S3, Amazon Redshift, Amazon EMR, Amazon Athena, AWS Lambda, Amazon EC2.

Cloud Platforms

Google Cloud Platform (GCP), Microsoft Azure.

Data Visualization Tools

Tableau, Power BI.

DevOps & Data Orchestration

Apache Airflow, Apache Spark, Git, CI/CD.

DevOps & Data Orchestration

Docker, Kubernetes, Jenkins, JIRA, Bitbucket.

DevOps & Data Orchestration

IntelliJ.

Databases

MySQL.

Projects

Sales Data Analysis and Dashboard

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Summary

Conducted comprehensive sales data analysis and developed interactive dashboards to visualize product performance and regional sales trends.

Film Booking System

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Summary

Developed a full-stack desktop application for film booking, focusing on robust data management and user experience.