I am a goal-oriented, analytical-minded and proficient IT professional with 9+ years of experience in varied domains of IT industry such as Telecom, and Capital Markets.• Adept in designing, building and maintaining large scale data pipelines in Azure.• Expertise in leveraging ADF, Apache Kafka, Spark DataFrame APIs to collect, develop and transform streaming and batch data to build ETL pipelines.• Expertise in cataloging, processing, and analyzing complicated data in Azure Databricks with Spark DataFrame APIs (pyspark and Spark SQL).Technical Skills:• Programming, DBs, Tools and Technologies: SQL, Python, Extract, Transform and Load (ETL), Azure Synapse, Azure Data Factory, Azure Databricks, Apache Spark, Apache Kafka, Azure Data Lake ADLS, Azure Blob, Talend Data Integration, Talend Big Data, Advanced SQL queries, Common Table Expressions (CTE), Window Functions, T-SQL, MS SQL Server Management Studio 18 (SSMS), Relational Database (RDBMS), PostgreSQL, Apache Impala, Apache Hive, Apache Hadoop, Apache Spark, MongoDB, Teradata, Amazon Redshift. • Platforms and Applications: Anaconda Distribution, JupyterLab, Jupyter Notebook, Google Colab, RStudio, version control systems Git, Linux, MS Powerpoint, MS Word, Confluence, JIRA, Studio 3T, Tectia, SecureCRT, Postman, Azure Devops, CI/CD using Bitbucket, TeamCity, uDeploy, Visual Studio Code, Microsoft Suite• Project Methodologies: Agile, Scrum, Waterfall• Data Science: Supervised Learning techniques such as classification and regression, Unsupervised Learning Techniques such as clustering and segmentation, hyperparameter tuning, and deployment of ML/DL models.