Deepa Saw

Deepa Saw

Mentor
4.9
(104 reviews)
US$20.00
For every 15 mins
196
Sessions/Jobs
ABOUT ME
SWE-II @ Microsoft with expertise in Data Engineering, Machine Learning ,LLM,Python,C#, Net
SWE-II @ Microsoft with expertise in Data Engineering, Machine Learning ,LLM,Python,C#, Net

As a Software Engineer II at Microsoft, I work on data engineering projects that leverage cloud and machine learning technologies. I have developed a generic ingestion framework in Azure Data Factory for ingesting data from various sources, saving time and compute resources. I have also built an application to convert natural language to SQL, and a near real-time ingestion framework. I have experience in deploying Flask and Django web apps on AWS, and creating CICD pipelines for Azure Data Factory.

Before joining Microsoft, I was a Consultant at Deloitte India, where I worked on ETL development and data migration projects using SAP BODS, Datastage, and databases like Teradata, SAP S4 HANA, and SQL Server.

New Delhi (+05:30)
Joined September 2023
EXPERTISE
5 years experience | 4 endorsements
9 years experience
2 years experience | 1 endorsement
SAP BODS
3 years experience
9 years experience
1 year experience | 2 endorsements
1 year experience | 2 endorsements

REVIEWS FROM CLIENTS

4.9
(104 reviews)
Chris
Chris
November 2024
Great tutor, would highly recommend for python tutoring
Ash
Ash
November 2024
Thank you for your support
Ash
Ash
November 2024
Very well spoken and knowledgeable about the topic.
ahmed
ahmed
November 2024
Deepa was so helpful. she explained to my code very well. Thanks Alot
Lee Harris
Lee Harris
November 2024
Thank you very much Deepa, that was amazing help !!!
Nana
Nana
September 2024
Great conversation ! looking forward to our work together
Ryan
Ryan
September 2024
Myself and Deepa went through the course / problem designed by myself using Azure Storage technologies. Deepa was kind, and present. Moreover, was very flexible on time and scheduling of the class. As soon as I messaged, she would respond <1 minute. The negative, is that we learnt issues together and with some details on SAs we had no answer. Lastly, there was no additional materials i.e. sending links / resources post lesson. Positives: Achieved lesson objective. Kind person. SME knowledge on etl paas services. Easy to schedule, clear communication. Negative: No deep learning beyond completing the task, did not feel like our actions were always fully explained. Learnt more then before the lesson, but still with gaps in my knowledge.
Bogdan
Bogdan
August 2024
Helped me implement RAG service. Very Knowledgeable!
audr
audr
June 2024
Good
Matthew Rogers
Matthew Rogers
June 2024
Very good.
EMPLOYMENTS
Software Engineer II
Microsoft
2021-06-01-Present
Data Engineer in Supply Chain 1. Developed Generic Ingestion Framework in Azure Data Factory for ingesting data from various sources (API...
Data Engineer in Supply Chain 1. Developed Generic Ingestion Framework in Azure Data Factory for ingesting data from various sources (API,SQL sever,Blob,Fileshare) which saves a lot of future development effort. Since the pipelines are metadata driven there is no development required to onboard new sources in future. These pipelines only extract data from source if there is an update in the source . Hence it saves a lot compute. 2. Build an application to convert Natural Language to SQL. 3. Working on building a Near Real Time Ingestion Framework. 4. Developed CICD pipeline for Azure DataFactory. 5. Enhanced the generic scala logic to handle scd logic / transformation. 6. As part of DML retirement (which was a financial and tech debt),developed SAP BODS job to move data from SAP to Azure Containers for multiple datasets and then merged the files. 7. Have contributed in DRI and Livesite activities to maintain reliability and availability of Systems. 8. Have been a Scrum Master and Created ADO Dashboard to Track all the Features, User Stories, Task and other relevant metrics for Leadership. Data Science: 1. Ingested data related to Surface device (Microsoft laptops) and Xbox from Twitter and did sentiment analysis on it . 2. SCE Hackathon Winner 2022: Worked on converting text in books to audio which would be integrated with Spectacles to help people with Vision issues. 3. Suggested best practices in Machine Learning through Experiments (IDEAS team). 4. Highlighted Features of Responsible AI Dashboard (raiwidgets library) And Fairlearn. 5. Built an application which converts Natural Language to SQL. Python/Automation 1. Automated Mapping sheet creation of ETL Job which saves 50 hours of effort per project. 2. Automated creation of BODS Job Schedules. 3. Wrote a code to analyze Job logs for File transfer errors which saved a lot of manual effort. 4. Automated ICM incident creation Process using Power Automate
Python
SQL
Azure
View more
Python
SQL
Azure
ETL
Data Science
Apache Spark
Data analytics
SAP BODS
Apache Hive
Azure Data Factory
View more
Software Engineer III
Walmart
2021-03-01-2023-07-01
1. Worked on migrating Data from ECC to S4 HANA. 2. Tested an Internal Data Profiling tool
1. Worked on migrating Data from ECC to S4 HANA. 2. Tested an Internal Data Profiling tool
SAP BODS
Databricks
SAP BODS
Databricks
Consultant
Deloitte USI
2017-11-01-2021-03-01
Deloitte's Firm Initiative Experience 1. Deployed Flask app on cloud (AWS) for predicting the substitute materials (for SAP Data) using D...
Deloitte's Firm Initiative Experience 1. Deployed Flask app on cloud (AWS) for predicting the substitute materials (for SAP Data) using Decision Tree Classification. 2. Deployed Flask app on cloud (AWS) for finding similarity between two images. 3. Have Built a Django Webapp to query on database (MS SQL Server) and have highlighted data quality issues through graphs. 4. Experienced in executing full life-cycle development projects. Deloitte's Project Experience 5. Have worked on built of ETL (SAP BODS) code for intricate objects like Material Master, Inventory (SAP EWM), Open sales order (SAP OTC). Have also worked on SAP objects like Bank Master (SAP RTR), Material Determination (SAP OTC), Pricing agreements (SAP NTO), Z table load etc. 6. Have created Technical Specification Document for projects and was involved in developing and testing of codes. 7. Extracted data from different sources like SAP ECC, flat files, Asset suite and transformed the data as per user requirement using BODS 4.1 and loaded data into target. 8. Have built Python utilities to automate following task: • To track status of cutover task’s. • To dump data from sql server to excel. • To split cross-reference file received by business to multiple text files. • To convert text files to excel. • To split files to multiple excel (depending on the warehouse number).
Python
Analytics
ETL
View more
Python
Analytics
ETL
Data Science
Data Migration
Data analytics
SAP BODS
View more