Software Engineer C#

Mounika R Mada

**************@*****.***

Professional Summary

Experienced software engineer with expertise in developing full stack applications. Proficient in React,

.NET, data structures and algorithms. Enthusiastic about staying current with the latest full stack technologies to build scalable applications.

Education

MAY 2022 - MAY 2024

Elmhurst University - Master’s in Computer Science GPA: 3.83 Experience

JUN 2024 - Present

GoDaddy - Software Development Engineer

● Designed and implemented an Audience Segment Platform (ASP) to store and retrieve ad-hoc user segments using GraphQL, PostgreSQL, AWS, and C# (.NET).

● Implemented MessagingEventQueuer in C# (.NET) that sends Salesforce Marketing Cloud (SFMC) events from Kinesis data streams to an SQS queue.

● Developed a DataWorks form using React for segment registration.

● Implemented CI/CD pipelines using GitHub Actions.

● Authored required documentation on Confluence, including design diagrams.

● Participated in an on-call rotation for ongoing issue resolution on a scheduled basis. HDFC, Hyderabad (India)

Software Engineer

March 2019 – February 2022

● Collaborated with business stakeholders to gather requirements and design custom solutions.

● Developed ETL scripts using Apache Airflow, PySpark, and AWS EMR to transfer data between Salesforce and the Teradata data warehouse via the Salesforce Bulk API.

● Built a full-stack application ("Transporter App") for bulk uploads to Salesforce, using React for the frontend and Java for the backend.

● Designed and implemented a comprehensive Data Quality framework with record-, column-, and metric-level checks, including automated alerts and anomaly detection, resulting in a 75% reduction in data issues.

● Developed GitHub workflows to enable automated deployments. Certifications

● AWS Certified Solutions Architect – Associate

● AWS Certified Cloud Practitioner

Technical Proficiency

● Programming Languages: Python, SQL, Java, Scala, Shell

● Frameworks & Platforms: Apache Spark, Apache Flink, Apache Beam, Kafka, Airflow, Hadoop, Snowflake

● Databases: PostgreSQL, MySQL, Amazon Redshift, BigQuery, MongoDB, Cassandra

● Cloud Services: AWS (Glue, EMR, S3, Lambda, Step Functions, Redshift, RDS, Athena, Kinesis), GCP (BigQuery, Dataflow, Pub/Sub)

● Data Processing & ETL Tools: Apache NiFi, dbt, Talend, Informatica

● Tools: Git, GitHub, Docker, Kubernetes, Terraform, CloudWatch, Jupyter Notebooks, Databricks, Presto

● Operating Systems: Linux, Windows, macOS

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