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Overall 3+ years of overall experience as Data Engineer in design, development Data-driven and analytical innovator with excellent problem-solving skills, business acumen, and passion for contributing to large-scale data ingestion and research initiatives. Prolific and intuitive collaborator with track record partnering with stakeholders, web developers, and database architects.

Detail-oriented, organized and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success.

Lead Data Engineer/Senior Data Architect with over 10 years of experience in design and development of data pipelines and processing huge volumes of data using tools and frameworks in the Hadoop and Spark ecosystem. Also I’m proficient in a variety of platforms, languages and methods including Hadoop, Spark core, Spark sql, Hive scripts, No-SQL - HBase, HDFS, Airflow, Kafka,S3, EMR, EC2, Lambda, Cloud Watch, DynamoDB, Impala on both On-prem and Cloud (AWS).

· Overall 12+ years of hands-on experience with building product ionized data ingestion and processing ETL pipelines using Spark, Scala, Python, PL/SQL, Informatica, IICS, Azure Data Factory, AWS Glue, Snowflake and also experience in designing and implementing production grade data warehousing solutions on large scale data Organizations.
· Experience with Snowflake Technology and building Snowflake Multi- Cluster Warehouses using AWS S3 and Azure Blob storage for integrating data from multiple source system including JSON Data formats.
· Hands-On experience with Snowflake utilities, SnowSQL, Snowpipe and Data model techniques using Python.
· Hands-On experience in Azure Development, Worked on Azure-App services, Azure storage, Azure SQL Database, Virtual Machines, Azure AD, Azure Functions, Notification Hub and AKS.
· Worked on setting up of Jenkins CI/CD for the Team as a CI tool.
· Expertise in RDBMS including Oracle SQL, MS SQL Server with thorough knowledge in writing SQL queries, Stored Procedures, Views, Functions, Packages, Triggers, Testing exception handlers, Cursors & Tables and Object Types.
· Have extensively worked developing ETL program for Supporting Data Extraction, transformations and loading using Informatica Power Center and Informatica Intelligent Cloud Services.
· Extensive experience in designing and implementation of continuous integration, continuous delivery, continuous deployment through Jenkins.
· Extensively used Software Version Control GitHub to deploy the code and follow the SDLC.
· Hands On experience in Python, PySpark, Scala and Bash scripts.
· Experience on Migrating SQL database to Azure Data Lake, Azure Data Analytics, Azure SQL Database, Azure Synapse, Azure Data Bricks and Azure SQL Datawarehouse and controlling and granting database access and Migrating On premise databases to Azure Data Lake Storage using Azure Data factory.
· Analyze, Design and build Modern data solutions using Azure PaaS service to support Visualization of Data. Understand current Production state of application and determine the impact of new implementation on existing business processes.
· Extract Transform and Load data from Source Systems to Azure Data Storage services using a combination of Azure Data Factory, T-SQL, Spark SQL and U-SQL data analytics. Data Ingestion to Azure Services and processing the Data in Azure Databricks.
· Strong Experience and Knowledge of real-time data analytics using Spark Streaming and Kafka.
· Experience working with IICS tool effectively using it for Data Integration and Data Migration from multiple source systems.
· Expertise in Informatica Power Center 10.2/10.1/9.5.1/9.0.1/8.6.
· Performance monitoring and Optimizing indexes tasks by using Performance Monitor, SQL Profiler, Database tuning Advisor and Index tuning Wizard.
· Worked in determining various strategies related to data security.
· Created common reusable objects for the ETL team and Review coding standards.
· Involved in fixing various issues related to data quality, data availability and data stability.
· Participated in Design meetings for creation of Data Model and provide guidance on best architecture practices.
· Good Knowledge in various phases of SDLC Requirement Analysis, Design, Development, and Testing on Various Development and Enhancement projects.
· Experience in various methodologies like Agile and Waterfall.
· Leading the team members with the challenges faced during the project development process and problem solving.

Aditya Sawant

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Data Engineer

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Bachelor of Engineering - Electrical, Electronics Engineering Technologies

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