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Over all 5 years of experience designing, implementing, and optimizing data solutions using Azure Data Factory, Data Lake Storage, and Synapse Analytics to support complex data processing and analytics requirements Skilled in leveraging Azure Data Lake to architect and deploy scalable data storage solutions, ensuring durability and accessibility for analytics and reporting Proficient in Azure Data Factory, orchestrating end-to-end data pipelines for seamless data integration and transformation across cloud environments Seasoned in Azure Databricks, employing PySpark and Python to develop advanced analytics solutions and optimize data processing workflows Expertise in designing and managing Azure Data Warehouse and Azure SQL databases, ensuring optimal performance and data integrity Specialized in developing ETL pipelines using Azure Data Pipeline, facilitating efficient data movement and transformation Accomplished in implementing data governance and compliance measures using Azure Cosmos DB and Azure Purview, ensuring data quality, integrity, and security in alignment with regulatory standards Knowledgeable in working with Snowflake and Azure Synapse Analytics, designing and optimizing data warehousing solutions for advanced analytics Technical proficiency in utilizing Azure Blob Storage and Azure Key Vault for secure data storage and management Worked in an Agile environment and have good insight into Agile methodologies and Lean working techniques. Participated in Agile ceremonies and Scrum Meetings Team player with excellent interpersonal skills, self-motivated, dedicated, and understanding of the demands of 24/7 system maintenance and has good customer support experience

Over 9 years of experience in Information Technology, worked on Data warehousing and providing solutions, develop, maintain and support the client requirements. Microsoft certified: Azure Data Engineer Associate Snowflake’s SnowPro Core Certified Experience as an Azure Data Engineer in various Microsoft Azure Cloud technologies including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Data Box, Azure SQL, Azure Data bricks, Azure Cosmos DB, Azure Key vaults and Azure Analytical services Experience in creating pipelines in ADF using activities such as Move & Transform, Copy, filter, for each, Get Metadata, Lookup etc. Experience working with different file formats like , csv, xml etc., In-depth knowledge and Hands on experience implementing cloud data lake like Azure Data Lake Gen1 and Azure Data Lake Gen2. Experience in transforming data from one server to other servers using tools like Bulk Copy Program (BCP), SSIS and Azure Data Factory Worked on latest reporting tools like Power BI to create advanced visualizations to give appropriate insights and support the business. Expert in Coding SQL and PL/SQL like Stored Procedures, Functions and Triggers. Expert in databases like SQL Server, Oracle, Snowflake and BigQuery. Hands-on experience with Oracle databases (e.g., 11g, 12c, 19c) and their integration with PL/SQL. Worked extensively on Google Cloud Platform (GCP)’s BigQuery by creating tables and loading data from different source tables. Experienced in scheduling and process automation using Shell/Python scripting. Optimized and tuned ETL processes & SQL Queries for better performance. Implemented Optimization techniques for better performance on the ETL side and also on the database side. Experienced with SQL Server Migration Assistant (SSMA) to migrate database objects from other databases to SQL Server. Experience in developing SQL scripts to validate the databases tables and reports data for backend database testing. Hands-on experience with Amazon EC2, Amazon S3, Amazon RDS, Redshift, VPC, IAM, Amazon Elastic Load Balancing, Auto Scaling, Cloud Front, CloudWatch, SNS, SES, SQS and other services of the AWS family. Experienced in both Agile as well as Waterfall methodologies. An excellent team member with an ability to perform individually, good interpersonal relations, strong communication skills, hardworking and high level of motivation.

Azure Data Engineer at PepsiCo, specializing in data integration and performance optimization. Expert in Azure Data Factory and SQL, I successfully enhanced ETL processes, achieving significant cost efficiency. A collaborative team player, I translated complex requirements into effective solutions, driving operational excellence and ensuring data governance compliance.

With 7+ years of experience, I specialize in fine-tuning ETL pipelines, advancing data storage technologies, and rolling out real-time analytics in Azure. My expertise includes Data Modeling, Enrichment, Wrangling, Munging, and Transformation, supported by a deep understanding of Spark, Airflow, Hive, Kafka, and Databricks. I excel in orchestrating and transforming data using Azure Databricks and Azure Data Factory (ADF), including developing and integrating PySpark notebooks, and utilizing various ADF activities and Dataflow transformations. Proficient in creating interactive dashboards with Power BI and skilled in Python, Scala, and SQL, I am well-equipped to craft and implement data-driven business solutions. An articulate communicator with strong analytical, problem-solving, and decision-making abilities, I also bring excellent interpersonal skills to every project.

· Holding 9+ Years of experience in analyzing, designing, tuning, and developing Client/Server, Business Intelligence (BI) database applications using Azure Cloud (ADF,Databricks,Spark,PySpark,and Spark-SQL),MSSQL Server 2014/2016 SQL Server Integration, Reporting & Analysis Services.
· Experience on Migrating SQL database to Azure data Lake, Azure data lake Analytics, Azure SQL Database,DataBricks and Azure SQL Data warehouse
· And Controlling and granting database access and Migrating On premise databases to Azure Data Lake store using Azure Data factory.
· Experience in Developing Spark applications using Spark - SQL in Databricks for data extraction, transformation and aggregation from multiple file formats for analyzing & transforming the data to uncover insights into the customer usage patterns.
· Good understanding of Spark Architecture including Spark Core, Spark SQL,DataFrames, Spark Streaming, Driver Node Worker Node,Stages,Executors and Tasks.
· Experience in Database Design and development with Business Intelligence using SQL Server 2014/2016, Integration Services (SSIS), DTS Packages, SQL Server Analysis Services (SSAS), OLAP Cubes, Star Schema and Snowflake Schema.
· Excellent communication skills with excellent work ethics and a proactive team player with a positive attitude.
· Domain Knowledge of Finance, Insurance, Travel and HealthCare.
· Strong skills in SSRS reporting tool. Tabular & Matrix reports design & development.
· Expertise in various phases of project life cycles (Design, Analysis, Implementation and testing).
· Lead database administration and database performance tuning efforts
· to provide scalability and accessibility in a timely fashion, provide 24/7 availability of data, and solve end-user reporting and accessibility problems.

Pratik Patil

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Azure Data Engineer

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Bachelor of Science - Computer Science

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Azure Data Engineer

Bachelor of Science - Computer Science

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