Chethan konduru

Highly skilled Cloud Data Engineer with 6+ years of experience in architecting, developing, and implementing data platforms, data pipelines, and automated ETL processes with Agile and Kanban methodologies. Proficient in using cloud-based technologies to migrate and transform large and complex data sets. Strong coding background with expertise in Python, C#, SQL, and Spark.

Senior Engineer - Data, Cloud - Mercedes-Benz Research and Development India

 PROJECT LAGEZENTRUM, MO360 – Digitization, Data Engineering and Data Science 

• Worked with business stakeholders to translate business and technical requirements into data interfaces, data transformation jobs, schema design and data models. • Designed the modern data architecture, developed and automated large scale, high-performance distributed ETL/ELT data pipelines using azure data platform services as per requirements. • Designed and developed Data Lake structure for collecting data and Data Warehousing, Data Analytics Relational Databases, Databricks SQL engine for analyzing data • Configured, coordinated maintained end-to-end operations of scalable ETL data streaming pipelines across projects using structured and unstructured data from REST/SOAP API, IoT and Kafka streams • Presented data in visualization dashboards using Power BI and Qliksense tools • Created useful data products in collaboration with Data Scientists and domain experts required for Data Science and Machine learning use cases which improved the business immensely in terms of time saved, minimizing rework for manufacturing cars and minimizing operating costs. • Built Enterprise Knowledge graph using Azure Purview • Worked on various innovative car manufacturing process KPI s, innovations and performance improvements. • Implemented Devops (CI/CD) best practices, automated development and release management 

BI Consultant / Senior Azure Data Engineer Dec 2019-Jun 2021 Coextrix Technologies

 PROJECT MDAP - Cloud-based Enterprise Data Warehouse and BI Visualization

 • Responsible for consulting with the client and leading the development team on Cloud Platform with Technical Expertise for the end-to-end development of the unified data analytics platform • Migrated data from legacy data platforms to cloud data platforms • Collaborated with cross-functional teams to ensure project delivery on time and within budget • Developed batch ingestion and data transformation routines using Azure Data factory pipelines, SQL Datawarehouse tables in Azure Synapse Analytics, External tables, and stored procedures in SQL Server, APIs to refresh Azure Analysis Services Model • Built relational/dimensional data model for various business applications and reports This enabled the management and business users to gain business value and acumen by accessing various key metrics, data, and reports under one roof. Users across all business apps could collaborate effectively and generate self-serviced reports in Power Bi • Collaborated with DevOps Engineers to develop automated CI/CD and Test-driven development pipeline using Azure as per client standards and Security 

Software Engineer Dec 2016 - Dec 2019 Lowe's Services (Fortune 40) 

PROJECT ATLAS - Lowes Canada IPaaS 

• Built serverless applications like Logic apps and Function apps to migrate structured and unstructured data from multiple source systems to Azure Blob Storage. Transformed into the compatible structure and curated data using Azure Data Factory pipelines • Created streaming integrations to handle near real-time data ingestion with JSON and XML messages managed with Azure Service Bus. Supervised API data inflow and outflow with Azure APIM • Composed ARM templates and CI/CD pipelines for Deployment in Azure DevOps and production support for all integrations • Responsible for designing, provisioning, building, validating, and maintaining heterogeneous databases • Developed Informatica PowerCenter ETL workflows to transform data

Bachelors degree in Electronics and Communication with Computer Science electives