Azure Data Engineer
Location : Pune
Experience : 6 Year
Rate: $19 / Hourly
Availability : Immediate
Work From : Onsite
Category : Information Technology & Services
Lalit
Education
•
Indian Institute of Information TechnologyVadodara, Gujarat
Bachelor of Technology in Information Technology2014 – 2018
Technical Skills
Expertise AreaData Engineering, Backend Development
Azure ServicesDatabricks, Data Factory, Event Hub, Stream Analytics
Synpase, Storage, Form Recogniser, Logic App
Tools and TechnologiesApache Kafka, Apache Spark, Docker, Kubernates, Autosys, Git, Microservice
Programming Language(s)Python, Java Script, Node JS
DatabaseMySQL, Mongodb
Experience
•
UST GlobalPune
Software Developer IIISep 2022 - Present
◦Integerated Data Solution: Working for an investment bank to design and build robust, scalable, and
fault-tolerant Data ETL pipelines to fetch data from sources, and transform it to put it into Azure SQL database
(Warehouse) using Azure services. Used Azure Data Factory and Azure Databricks to create the ETL pipeline and
Autosys for the job orchestration and scheduling.
•
Rapidops Inc.Ahmedabad, Gujarat
Sr. Software EngineerJune 2018 - Aug 2022
◦Inventory Stock Prediction: Implemented inventory stock prediction solution for one of the largest retailers in
The USA. I was responsible for architecture design, data engineering, and deployment. Created pipelines to fetch,
clean, and transform data.
◦Form Recogniser: Form recognizer is a solution to extract data from acknowledgment forms and match these
data with the purchase order form. Responsible for training the custom neural model in Azure form recognizer and
building the matching logic.
◦Recommendation Engine: Built a Recommendation System for one of the largest retailers to increase user
engagement. I was responsible for implementing the entire Recommendation system from the ground up. I used a
user-based collaborative filtering approach and ALS algorithm to factorize a large matrix of user and item ratings
that helped them to increase their CTR by 30 percent.
◦Deal Scoring: Implemented a deal-scoring engine for CRM, to help focus on more important deals. I was
responsible for feasibility study, data extraction, preparation, model, and API development.
◦Chatbot Google Dialogflow: Developed a Dialogflow chatbot for one of the largest retailers. It gives flexibility
to users to interact with the app by voice. Used Node.js and MongoDB for development.
◦Backend For Supermart Chain: Worked on creating the microservices for cart and product. Used Node.js and
MongoDB for development.
Projects
•Killy: Created a Dialogflow chatbot to facilitate ticket booking. Users can search local attractions, and events and
book their tickets.
•Visualization Dashboard: Created a dashboard to visualize the data produced by the remote machines. I was
responsible for gathering data from various data channels and prepossessing data. Built various APIs to facilitate
data to the front-end team.
Awards and Achievements
•Rising star of Rapidops Inc.: Best performer among all the new joiners.
•Inspire award by Indian Government: Awarded by the Government of India for securing the highest marks in
Mathematics at the District level.
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