Arjun Sharma

• Architect enterprise-scale, cloud-native data platforms powering real-time analytics. • Engineer scalable, batch and streaming pipelines using Python, Spark, Databricks, Kafka, Synapse, and ADLS Gen2. • Productionize AI/ML and Gen AI sols with model serving using OpenAI, Azure AI Foundry, DataBricks ML Studio, Python. • Writing Scripts, Implement CI/CD, Infrastructure-as-Code, and DevOps(Git/Azure) automation. • Utilize ADLS Gen2, Synapse, Blob, Delta lake Data Factory, and SQL DB to build E2E sols.

• Architecting, creating and maintaining Data pipelines. Driving Automation by renovating the Data mgmt. Architecture. • Development of data related instruments, mgmt of Integration tools-Kafka, ADF, Fabric, DBS, DWH,Synapse Analytics. • Develop websites, AI-driven chatbots, Apps, IaC, server-side logic & ML integrations for predictive analytics & automation. • Worked on Gen A.I & M.L., Pycharm, Visual studio, Github, Libraries/frameworks such as Django, Flask, Tensorflow, Pytorch for web dev.

• Writing Queries & scripts for ETL tasks, Data pipeline orchestration, Data processing & transformation, Utility function & Data viz. • Developing, maintaining, testing, implementing, analyzing, evaluating data systems & processes using Databricks, ADF, Synapse, Fabrics. • Azure data Engg., Databricks, Snowflake, & sol. architecture expertise; Automated ETL processes, improving efficiency. • Derive sols for complex problems using GenAI, AI/ML, Big Data, time series, RCA, & automations.

• Worked on cloud-based solutions-Aws & Azure, ETL/ELT, pipeline orchestration methodologies, data validation & loading. • Worked with data science team to implement data analytics pipelines using AI/ML, SQL, Python, APIs, Shell, Azure & Aws cloud Platform. • Validation, cleaning, Standardization, curation, storage & mgmt of the data received from various sources using Databricks.

• Implemented data analytics best practices, Enhanced 14% in order fulfillment accuracy & 9% growth in annual revenue in Q3 FY-22. • Data Acquisition, storage, processing & admIn for Customer churn prediction, Price optimization, Sentiments Analysis. • Orchestrated Data ingestion & storage into ADLS G2, Synapse Analytics. • Experience With ETL operations with Azure Data Factory, Databricks, comprising ETL. • Monitor and analyze product sales using AI/ML, GenAI, and automation.

• Designing & implementing data storage solutions on Azure.; Building & maintaining data pipelines for data integration & processing. • Experience with Azure data storage solutions-ADLS, Synapse Analytics, Azure SQL.; Develop & maintain data models and schemas. • Ensuring data quality and accuracy through testing & validation.; Optimise data processing performance by Azure Data bricks. • Gathering & analyzing data, to improve the quality of data mgmt. using Databricks; Developed & deploying data sols.

Got to learn a lot about functioning of Corporation's, there financial aspects. Analysis of various strategic functions. how I.T industries are being managed. Subjects: Project management, Mgmt. Of financial services, strategic management, security analysis, operations research, business research methods, Financial management, Business Analysis, strategic cost management and control, accounts, ERP, Data base management and data governance, Models & Analytics in Marketing, Supply Chain Analytics

Subjects: Microprocessor and Controllers, VLSI Design, Systems Design & Architecture, Mathematics for Computing, Electronics testing, Digital Electronics, signals and systems, Computer networking & Databases, Antenna, Communications, RF Engineering etc.