Services
Video meeting . 15 mins
Priority DM . 2 days reply
Video meeting . 30 mins
Video meeting . 30 mins
Video meeting . 30 mins
Priority DM . 2 days reply
Priority DM . 2 days reply
Video meeting . 30 mins
Video meeting . 30 mins
Video meeting . 60 mins
About me
𝐕𝐞𝐧𝐤𝐚𝐭 𝐏𝐚𝐠𝐚𝐝𝐚𝐥𝐚
𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫/𝐀𝐳𝐮𝐫𝐞 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫/𝐒𝐐𝐋 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
𝐄𝐦𝐚𝐢𝐥: 𝐯𝐞𝐧𝐤𝐚𝐭𝐩𝐚𝐠𝐚𝐝𝐚𝐥𝐚.𝐰𝐨𝐫𝐤@𝐨𝐮𝐭𝐥𝐨𝐨𝐤.𝐜𝐨𝐦
𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐍𝐨: +𝟏 (𝟒𝟔𝟗)-𝟕𝟏𝟐-𝟒𝟗𝟕𝟎
𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐒𝐮𝐦𝐦𝐚𝐫𝐲
With over 8 years of experience, I've specialized in architecting and implementing robust data solutions as a Data Engineer. My journey in this field has covered the full spectrum of data operations from inception and ingestion to modeling, querying, processing, and analysis. My expertise lies in the development and implementation of end-to-end ETL pipelines, advanced visualizations, and analytical solutions leveraging Azure Databricks. Proficient in Apache Spark utilizing Scala and PySpark, I've delivered multiple projects across diverse domains, ensuring high performance, fault tolerance, and scalability. Skilled in SQL, Spark SQL, and HiveQL, I excel in designing and optimizing queries for efficient data retrieval and transformation. Additionally, I have extensive experience in managing large-scale data storage environments using Azure Data Lake Storage (ADLS) and deploying Azure SQL databases for high availability and disaster recovery.
𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐤𝐢𝐥𝐥𝐬
Programming Languages: Python, SQL, Scala, Java, R
Database Systems: MySQL, PostgreSQL, SQL Server, Snowflake
Big Data Frameworks: Apache Hadoop, Apache Spark, Apache Kafka, PySpark, SparkSQL
Data Warehousing: Snowflake
ETL Tools: Apache Airflow, Informatica
Version Control: Git, Subversion (SVN)
Workflow Automation: Jenkins, Bitbucket, GitLab CI/CD
Data Visualization: Tableau, Power BI, Looker, matplotlib, seaborn
Workflow Orchestration: Apache Airflow
𝐀𝐳𝐮𝐫𝐞 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬
Data Storage: Azure Blob Storage, Azure Data Lake Storage, Azure SQL Database
Data Processing: Azure Databricks, Azure Data Factory
Data Analysis: Azure Synapse Analytics (formerly SQL Data Warehouse)
Data Integration: Azure Data Factory, Azure Logic Apps
Monitoring & Logging: Azure Monitor, Azure Log Analytics
Security & Compliance: Azure Active Directory, Azure Key Vault
DevOps & CI/CD: Azure DevOps, Azure Pipelines
𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
Snowflake: Hands-On Essentials: Data Warehousing Workshop
Databricks: Academy Accreditation - Databricks Lakehouse Fundamentals
Databricks: Academy Accreditation - Generative AI Fundamentals
IBM: Apache Spark Level - 1
Oracle: Oracle Cloud Data Management 2023 Certified Foundations Associate
Oracle: Oracle Cloud Infrastructure 2023 Certified Foundations Associate