Muthyala J.

About Muthyala J.

Data Engineer | ETL & Pipeline Optimization | Cloud & Big Data EnthusiastWith over four years of experience in data engineering and content moderation, I specialize in designing and optimizing scalable ETL pipelines to drive data-driven decision-making. My expertise spans GCP, AWS, and Azure, where I leverage tools like BigQuery, Dataproc, Cloud Composer (Airflow), AWS Glue, Redshift, and Lambda to streamline data workflows and enhance performance. Key Skills & Expertise ETL Development – Building automated, high-performance data pipelines Cloud Technologies – Proficient in GCP (BigQuery, Dataproc, Composer), AWS (Glue, Redshift, S3, Lambda) Database Optimization – Improving query efficiency with partitioning, clustering, and storage formats (Parquet, ORC) Programming & Automation – Strong in Python, SQL, and Spark for data processing Data Security & Monitoring – Implementing IAM, encryption, CloudWatch, and Datadog for robust data governance.Professional Experience I have successfully migrated on-premises data warehouses to AWS Redshift, designed real-time streaming solutions using Kafka and Kinesis, and automated workflows using Airflow DAGs. Additionally, I have experience ensuring data integrity and compliance through content moderation and policy enforcement. I am passionate about leveraging cloud and big data solutions and always eager to explore emerging technologies to optimize data architectures for scalability, performance, and cost efficiency. I’m open to discussing data engineering, cloud transformations, and innovative analytics solutions.

Experience

1. Data Engineer

   Morgan Stanley

   Sep 2024 — Present · Newark, DE, US

   Designed a real-time transactions analytic pipeline using cloud Pub/sub to ingest consumer transaction data.• Used cloud functions to ingest data from various API endpoints and stored it in cloud storage buckets.• Supported Amazon Connect configuration, including setting up contact flows, queues, routing profiles, business hours, and Contact Lens analytics for enhanced customer support insights. • Designed scalable data pipelines leveraging AWS services like Glue, Redshift, S3, Lambda, and EMR for efficient data ingestion, transformation, and storage, enabling successful execution of Special Projects. • Created Power BI reports and dashboards to analyze promotional campaign effectiveness, customer retention trends, and operational data, supporting data-driven decision-making processes. • Built serverless data transformation workflows with AWS Lambda and orchestrated pipelines using AWS Step Functions.• Integrated AWS Lambda functions with Amazon Connect IVR flows to fetch customer and transaction details from backend systems and APIs in real time, improving call efficiency. • Loaded data into BigQuery for downstream analysis and reporting.• Configured and managed Grafana dashboards integrated with Google Cloud Monitoring to visualize key performance metrics, including Dataflow job runtimes, error rates, and system resource utilization. • Worked on CCP integration, embedding the Amazon Connect Contact Control Panel into internal applications using Amazon Connect Streams for seamless agent access. • Developed real-time Grafana alerting mechanisms to proactively notify engineering teams of pipeline failures, threshold breaches, and infrastructure anomalies, improving incident response times and system reliability.

Education

• Sri Indu College Of Engineering & Technology

  Bachelor of Engineering - BE, Mechanical Engineering

• Wilmington University

  Master's degree, Computer and Information Systems Security/Information Assurance