Aditya Yandrathi
Senior Data Engineer
- Role
- Senior Data Engineer at Kellogg Company
- Location
- Dallas, TX, US
- LinkedIn followers
- 500 followers
About Aditya Yandrathi
12 years of experience in Data Engineering with expertise in building scalable data pipelines, cloud data warehousing, and big data technologies. Proficient in end-to-end ETL design, cloud migrations, and real-time data processing using AWS, Azure, and GCP. Adept at collaborating with global clients and leading cross-functional teams to deliver high-quality, production-ready solutions: 1.Big Data & Streaming: Apache Spark (Scala, Java, PySpark), Kafka, Hadoop (Hive, MapReduce), Apache Airflow 2. AWS: Glue, Redshift, EMR, Athena, Lambda, S3, Step Functions, Kinesis, DynamoDB, RDS, IAM, CloudWatch, CloudFormation. GCP: BigQuery, Dataflow, Pub/Sub, Dataform, Data Fusion, Cloud Storage, Cloud Composer. Azure: ADF, Synapse, Databricks, Azure Functions, Cosmos DB, Azure Blob Storage, Azure Monitor Snowflake (DBT, Snowpark, Streams & Tasks), Informatica, Talend, Matillion, SQL Server, PostgreSQL, MongoDB Jenkins, Docker, Kubernetes, Terraform, Git, CI/CD Pipelines RBAC, IAM Policies, Encryption, Data Governance (GDPR, HIPAA), Vertex A
Experience
Senior Data Engineer
Oct 2023 — Present
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