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yaswanth_1102

Yaswanth V

@yaswanth_1102

Senior Software Engineer

Indien
Englisch, Telugu, Tamil
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
I am a Data Engineer and AI/ML enthusiast with 2+ years of experience building scalable data platforms, cloud-native ETL pipelines, and AI-powered applications on Google Cloud. I specialize in designing cloud-based data warehouse architectures using BigQuery, Apache Airflow, and Cloud Run to enable reliable analytics.... Mehr lesen

Kompetenzen

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yaswanth_1102
Yaswanth V
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Data Warehouse
I will build python etl pipelines and data engineering solutions
Ab50 $ / ProjektWeitere Details

Portfolio

Arbeitserfahrung

swot_minds

Senior Software Engineer

swot minds • Vollzeit

May 2026 - Present • 5 mos

Worked on an AI-powered invoice automation platform to streamline invoice processing and validation. Developed backend APIs using Python and FastAPI, with AWS Lambda, S3, PostgreSQL, and AWS Bedrock/Claude for serverless processing and AI-based invoice data extraction. Implemented PDF invoice extraction, PO/Non-PO classification, business-rule validation, and 3-way matching between Purchase Orders, Goods Receipts, and Invoices. Integrated Oracle Fusion REST APIs and Microsoft Graph API for enterprise data and email workflows. Also worked with Amazon Cognito, API Gateway, WAF, and CloudFront for authentication, API security, and deployment. Implemented status tracking, audit logging, error handling, and reliable automated invoice processing workflows.

Knowillence_Private Limited

Data Engineer

Knowillence Private Limited • Vollzeit

Jul 2024 - May 2026 • 1 yr 10 mos

Worked on enterprise Data Engineering and Data Warehouse projects, building reliable ETL pipelines and data integration solutions. Developed and automated data pipelines using Python, SQL, Apache Airflow, SQL Server, PostgreSQL, BigQuery, and Google Cloud Platform (GCP). Implemented data migration and transformation workflows from SQL Server to PostgreSQL/BigQuery, including schema replication, incremental data loading, data validation, and error handling. Designed and optimized Airflow DAGs for automated and parallel ETL processing across multiple tables. Implemented Change Tracking/CDC for incremental data synchronization and worked with Debezium and Kafka for CDC architecture. Built cloud-based ETL workflows using Cloud Run, Cloud Scheduler, Cloud Storage (GCS), BigQuery, Secret Manager, and Cloud SQL. Also worked with Apache Superset for data analytics and dashboarding. Key technologies: Python, SQL, SQL Server, PostgreSQL, BigQuery, Apache Airflow, GCP, Cloud Run, GCS, Cloud Scheduler, Docker, Kafka, Debezium, Apache Superset.