Leading workstreams in acquiring, ingesting and processing data from different sources into Analytics platform. Help clients design their Data and ML platformsAcquire, ingest and process data from multiple sources into different cloud environments.Collaborate with data scientists to wrangle, curate and prepare data for use in advanced analytics modelsPromote machine learning pipelines into production by following best software engineering principlesLead on projects from a Data Engineering and Architecture perspectiveCollaborate with clients to design enterprise data architecture and ML platforms in different cloud environmentsCollaborate with Data Scientists to map data fields to hypothesis and curate data for development of advanced analytics modelsDeploy machine learning models into production

• Experience working Big Data Technologies like Hadoop, Azure Cloud Big Data Architecture.• Working in Azure Data lake services. ETL of big data using Azure U-SQL, and generating insights from the numbers using Azure U-SQL• Loading the aggregated data directly from blob store to Power BI, generating power BI reports.• Automating the entire process using Function Apps and Logic Apps in Azure and the Schedule refresh in Power BI• Aid in the manipulation of large datasets by performing calculations, summarizations, and creating output.• Assist in preparation of analytic deliverables, combining multiple programming outputs to create cohesive reports in Excel. • Help with maintenance and running of monthly reports .• Assist senior team members with portions of large analytic deliverables. • Contribute to the definition and development of key findings and marketing-oriented conclusions.• Utilize SAS macros and SQL to automate reports.• Use Cron ,Linux utility, to schedule automated jobs at regular intervals• Use AUTOSYS tool in scheduling automatic jobs, to generate reports at regular intervals.• Design and Develop Solutions using Azure Data Factory and Databricks to ingest, process and analyze large datasets to meet business requirements.• Develop and maintain data lake and delta lake(data warehouse) for data access and Advanced Analytics.

• Assist faculty in classroom teaching, exams and record keeping.• Create and maintain course materials such as syllabus, notes and course website.• Analyze performance of the class students to aid them in continual learning and improvement.

• Three years of experience working in a process industry maintenance, construction and erection of a new cement plant.• Looked at impact of current progress on overall project completion and development of look-ahead, catch up and liquidation plans• Created, updated, tracked and circulated Master Supply & Delivery Schedule. Verified vendor’s delivery time lines with respect to construction schedule. Expediting material Supply by in-house follow ups, visits with Suppliers and their sub-contractors• Strategic Planning and action plan preparation for PMO implementation with M/s. Mckinsey -Management Consulting.