Chockalingam Sekar
Packaged App Development Team Lead @ Accenture | Python, AWS, Azure Machine Learning, Azure Data Factory, Azure Data Explorer | AI ML | Gen AI | Agentic AI | Corporate Trainer | CBSE and College Students Online Trainer
- Role
- Packaged App Development Team Lead at Accenture
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Chockalingam Sekar
At Accenture, my mission revolves around pioneering AI innovation, with a focus on…
Experience
Packaged App Development Team Lead
Nov 2024 — Present · Bengaluru, IN
Project 1 - DCF to XML conversion using Python scripting Automation and file upload in AWS SmartComm for template creationThe aim of the project is that the DCF format files are converted into XML format files using python scripting as automation and The macros present inside the DCF format files are converted as Javascript files with all the macro functions present in it without fail. That conversion also using different python scripting language to achieve this automation process.Once the conversion is done then using the AWS SmartComm tool to upload the files and create the templates for the further use for the project. Using Python Automation scripting language to find out the Variables also present in the DCF files and extract the variables separately in a different script.Project 2 - ETL Data Migration from AWS S3 to ADX using ADFThe ETL Data Migration from Elasticsearch data in AWS S3 into Azure Data Explorer using Azure Data Factory as a platform. The Source data will be migrated in ETL process into Blob container in Data Factory, then using Linked services for both S3 Source and ADX destination. The Schema mapping preparing for tables and columns. Connect the clusters from the Azure portal into data explorer platform. Create tables from the respective database in ADX platform. Create the schemas from the schema mapping for all the tables.The Pipelines creation in Azure Data Factory for the getting the meta data as an activity from Source AWS S3 to ADF. The S3 files are maintained in Get metadata then using looping transfer the file datas and copy the datas one by one to the destination Azure Data Explorer(ADX). Creating Linked Service for both source and destination. Create manual and automatic trigger for pipeline run.
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