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Associate Principal Engineer

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Dynamic and innovative Principal Software Engineer with extensive experience designing and implementing low-latency, distributed systems at scale for processing large volumes of data. Proven track record of developing high-performance solutions using modern technologies. Expert in optimizing systems for scalability, speed, and reliability. Polyglot, fluent or conversant in a wide range of programming languages and technologies, easily acquiring new skills. A good eye for big-picture design. Passionate about mentoring teams and driving cutting-edge technical innovations for data-driven decision-making.

Dynamic Software Consultant at Halo Service Solutions with proven expertise in project management and client communication. Successfully delivered tailored solutions, enhancing operational efficiency through advanced SQL reporting. Recognized for adaptability and problem-solving abilities, driving significant improvements in client profitability while fostering strong relationships with stakeholders.

Detail-oriented Software Consultant with 7+ years background designing, configuring and testing software. Comprehensive knowledge of software development lifecycles. Excellent analytical and documentation skills with remarkable project management abilities.

Experienced Azure Data Engineer with over 4.4 years in the IT industry, seamlessly integrating a robust background in software engineering with specialized proficiency in leading Azure technologies. Demonstrates expertise in Azure Services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Stream Analytics, Azure Cosmos DB, Azure Synapse Analytics, and Azure Data Lake Storage. Additionally skilled in various storage solutions, such as Key Vault, and well-versed in Python, SQL, PySpark, and Shell scripting. Possesses an in-depth understanding of Spark Architecture, Spark Core, Spark SQL, Data Frames, and related components crucial for effective Azure Data Engineering. Proven track record in designing and developing robust Data Engineering solutions, encompassing Data warehousing, ETL (Extract, Transform, Load), and data modelling and architecture. Successfully handles diverse datasets, demonstrating hands-on experience with various file formats like JSON, Parquet, CSV, and ORC within the dynamic Databricks environment. Engineered Azure Data Factory pipelines to facilitate seamless data transformation from Blob Storage to Azure Data Lake. Solid knowledge base in Azure cloud platforms, coupled with practical experience in CI/CD pipelines and Agile methodologies. As an Azure Data Engineer, brings a wealth of experience in key areas, including SQL Server Integration Services (SSIS), ensuring the successful execution of Azure Data Engineering projects.

GANESH JADHAV

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