As a Data Analytics Specialist(DA) I'm working closely with the Business Intelligence and Data Analytics team. The team is responsible for building and supporting – reporting and data warehouse related solutions. This data comprises of real-time sensor data, transactional data, master data, and aggregated data.I also work with our business analysts, business partners, architects and developers to understand the requirements; help build and support data related solutions that align with the overall company strategic goals.

As a Shift Supervisor at Starbucks, I was responsible for leading and supporting a team of baristas, ensuring customer satisfaction, and managing inventory and cash flow. I also assisted with training, coaching, and mentoring new hires, as well as providing feedback and recognition to the existing staff. I am passionate about delivering high-quality service and products, as well as creating a positive and inclusive work environment.

Involved in various projects related to Data Modelling, System/Data Analysis, Design and Development for both OLTP and Data warehousing environments.• Practical understanding of the Data modelling (Dimensional & Relational) concepts like Star-Schema Modelling, Snowflake Schema Modelling, Fact and Dimension tables.• Comprehensive knowledge and experience in process improvement, normalization/de-normalization, data extraction, data cleansing, data manipulation.• Experience in extracting, transforming, and loading (ETL) data from spreadsheets and database tables.• Utilized Joins and sub-queries to simplify complex queries involving multiple tables while optimizing procedures and triggers inproduction.• Experience with Requests, Report Lab, NumPy, SciPy, Pytables, cv2, Matplotlib, HTTPLib2, Urllib2, Data Frame and Pandas pythonlibraries during development lifecycle.• Created a data pipeline that will load data from S3 to Redshift to automate the Extract, Transformation, and Loading process.• Extensive experience in Amazon Web Services (Amazon EC2, Amazon S3, Amazon Simple DB, Amazon RDS, Amazon Elastic LoadBalancing, Elastic Search, Amazon MQ, Amazon Lambdas, Amazon SQS, AWS Identity and access management, AWS
Cloud Watch,Amazon EBS and Amazon CloudFormation).• Leading and interacting with various roles in the organization like program managers, team leaders, and focus groups to improveand synergize solutions to reduce cost.

Operations & Maintenance in Network Function.In a nutshell, the internship I had at Bharti Airtel Ltd., A.P. circle was very much helpful in learning the concepts of :1) GSM technology 2) call flow in GSM 3) packet core of GPRS, UMTS and LTE 4) Optical fiber communications 5) Intelligent Network and Value Added Services 6) TSG operations 7) cell site and types of sites 8) Drive test. It has been an opportunity to know about the various techniques which are used in networking.

Power Generation & Modelling of Substations.1. Understanding of AMR (Automatic Meter Reading)2. The purpose and function of AMR Systems3. Excess AMR System4. Components of AMR Systems Equipment5. Electronic Meters6. Software AISYSTEMS AMR7. DLPD Analysis AMR8. The handling of Cases by P2TL with AMR