Azure Cloud Engineer

ASHOKKUMAR POTHITLA

Email: ***************@*****.*** \ Phone: +1-334-***-****

PROFESSIONAL SUMMARY

Having 3+ years of experience in Azure Data Engineer with a proven track record at Marvelous Technologies, I excel in leveraging Azure Data Factory, Synapse Analytics, and Databricks to transform data landscapes. My strategic approach to big data processing and analytics, coupled with effective collaboration and problem-solving skills, has driven significant advancements in data-driven decision- making and operational efficiency.

SKILLS

Azure Data Factory (ADF)

Azure Synapse Analytics

Azure Databricks

Azure SQL Database

Azure Data Lake Storage (ADLS)

Azure Cosmos DB

Azure Functions

Azure Logic Apps

Synapse Pipelines

Azure DevOps

SQL

Python

SSIS

Delta Lake

Apache Spark

Py Spark

Snowflake

PostgreSQL

MySQL

GitHub

PROFESSIONAL EXPERIENCE

Client: New York Life Insurance Company Mar 2025 – Current Project: Individual Disability Insurance (IDI)

Azure Data Engineer

Responsibilities:

Design and implement database solutions in Azure SQL Data Warehouse, Azure SQL.

Architect & implement medium to large scale BI solutions on Azure using Azure Data Platform services (Azure Data Lake, Data Factory, Data Lake Analytics, Stream Analytics, Azure SQL DW, HDInsight/Databricks, NoSQL DB).

Worked on design, implement, and support data warehouse and ELT/ETL development to provide structured and timely access to models.

Design Setup maintains Administrator the Azure SQL Database, Azure Analysis Service, Azure SQL Data warehouse, Azure Data Factory, Azure SQL Data warehouse

Performed ETL operation using SSIS and loaded the data into Secure DB.

Good hands-on experience in Data Vault concepts, data models, well versed understanding and implementation on Data warehousing concepts/Data Vault.

Designed the packages to extract data from SQL DB, flat files and loaded into Oracle database. Client: J.P. Morgan Chase & Co Mar 2023 – Jan 2025 Project: Data Galaxy

Azure Data Engineer

Responsibilities:

Designed and implemented ETL pipelines using Azure Data Factory (ADF) to process and transform large datasets from multiple sources.

Developed and optimized Azure Databricks notebooks (Py Spark, Scala) for big data processing and analytics.

Created Azure Synapse Analytics data models and managed Data Lake Storage (ADLS) for structured and unstructured data.

Built Delta Lake architectures for real-time data processing and versioning.

Implemented Azure Functions and Logic Apps to automate data workflows and integrate third- party APIs.

Developed and optimized SQL queries, stored procedures, and indexing strategies for improved performance.

Ensured data security and governance using RBAC, encryption, and Azure Key Vault.

Worked closely with data scientists, analysts, and business teams to provide actionable insights. Client: Cummins Inc June 2020 – Dec 2021

Project: Mc Parts Reservoir

Azure Data Engineer

Responsibilities:

Developed and maintained data pipelines using ADF and Databricks.

Designed data warehouse solutions using Azure Synapse Analytics.

Implemented Azure Data Lake Storage (ADLS) Gen2 for optimized storage and retrieval.

Optimized SQL queries and database indexing for performance improvements.

Created Power BI dashboards to track business KPIs and trends. EDUCATION

Auburn University at Montgomery, Montgomery, AL, USA Master of Science (M.S.): Management Information Systems (MIS)

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