• Assisted in Design & lead sub teams in developing a platform running in a server less Azure Ecosystem for a CPG Client firm to manage and process data worth over 60TB on monthly basis powering areas related to Finance, Sales & Marketing.• Designed & developed near real time job/data monitoring & alerting systems to catch data anomolies or failures and built automations and integrated into daily pipelines using Azure Web jobs, Azure Function & Azure Data Factory.• Built python/C#, Spark SQL & SQL scripts to combine, de-duplicate & validate incoming data from Heterogeneous data sources such as SFTP, Excel etc... for superior data quality and to improve fault tolerance of overall platform.• Work with cross functional teams regularly to collect requirements and translate & deliver analytical solutions for different teams within a Key Client’s firm in capacity of lead data engineer.• Lead a track of engineering team as the lead data engineer to deliver a migration of an AWS system to a fully operational server less Azure Analytics platform powered by Azure Databricks, Azure SQL Data Warehouse (Synapse), Azure Analysis Services (AAS) & Azure data Factory.• Currently working as senior engineer to maintain, develop automated pipelines powered by AWS EC2, EMR & Snowflake. Additionally, leading independent path of building several user utilities using python to automate several manual processes and improve efficiency & overall fault tolerance for a Healthcare Client Firm.• In Parallel currently acting as a Mentor & providing operational oversight in a center of excellence for Advanced Analytics within Cervello related to areas of Training & Marketing Blogs to promote firm building & growth.

• Developed & assisted in delivering an analytics platforms in a form of mass migration to enable generation of insights & analytics powered by Azure Ecosystem to support merger activities within different legal entities.• Assisted & provided design recommendations for modelling a NLP solution to extract key phrases from product descriptions using Microsoft Cognitive Services and classification techniques like Word2Vec & RNN to achieve market competitiveness & generate insights in products gaining/losing market share.• Gained subject matter expertise & in-depth knowledge around competitive sales data & market product data from major 3rd party data providers like Nielsen, E2Open, Trade Edge to suit client’s analytical needs.• Designed & developed an executive analytics solution for near real time view of financial KPIs such as Promotions & Gross Margins related insights powered by Azure Functions, Azure data lake, Azure SQL Data Warehouse.• Developed a fully configurable File Preparation as a service tool to allow and automate the process of manual file preparations, cleansing and validation using Python.

Currently a Research Assistant working on a project driven towards Serialization Techniques and its coupling advantages on Big Data Systems. Building a handwritten serialization program for Twitter Data housed on Hadoop & AWS Clusters for experiments and analysis using Java & configuring manually a distributed HDFS.Documenting the findings and drawing insights & conclusion to build a ongoing research journal publication for ACM Symposium on Cloud Computing 2017.

Worked part-time at Boston University School of Medicine as a core team data analyst of a project WebCamp that is inclined for data driven insights & automated dynamic reporting. Designed a set of SQL based queries to achieve consolidation of attributes and carry out dynamic report generation. Design & managed the structure of a resource request system in the organisation for streamlining & accounting the resources flowing single handedly. This system required careful categorization of tickets and requests and their assigning to support groups. Documented low level & high level design structure documents and drove business meetings.

Key responsibilities involved Techno-Functional aspects of Business Intelligence which include Data modelling, management of ETL processes & stakeholder management. Designed MIS Based interactive components using SAP Xcelsius Dashboards and Business objects that would address issues pertaining to Actual vs Spend Revenue Budget, Capex, Purchase Analytics & Performance Analytics, to areas of modelling & structuring entire Business Intelligence (SAP BI 7.X Suite) system schemas for managing cleansed, relevant information flow to SAP Bobj Components for producing informed decision insights. Driven stakeholders meetings and provided business driving solutions for product based marketing campaigns for high profile clients in industry.Built data pipelines consequently & ensured clean data flow to understand different public sentiments to support insight based marketing campaigns for different products.