SingleStore

-Conceptualized and implemented various Proof of Concepts (POCs) utilizing SingleStore in diverse data analytics environments, emphasizing its flexibility and potential for data engineering solutions.
-Successfully completed a POC leveraging Arcion for data ingestion from Oracle to SingleStore, thereby demonstrating adaptability and capability in Data Migration.
-Utilized ChatGPT for building an interactive demo to exhibit SingleStore's comprehensive capabilities in data analytics, showcasing strong skills in using AI in data engineering contexts.
-Developed a complete application using Python and SQL, demonstrating SingleStore's full-text search functionality (match and against), effectively applied for duplicate detection. Showcased proficiency in applying advanced SQL concepts and Python programming.
-Proficient in AWS cloud platform, consistently applying AWS services to ensure reliable and scalable data engineering solutions.
-Built GenAI apps utilizing SingleStore and its vector capabilities, creating a robust foundation for AI applications.
-Developed various assets in Jupyter notebooks for GenAI applications, collaborating with renowned vendors such as OpenAI, Hugging Face, and Cohere to enhance the project's scope and efficiency.
-Completed a pivotal PoC for a bank customer, where he implemented an entire architecture with the team encompassing:
1.Data generation using Python scripts
2.Writing to Kafka
3.Data ingestion into SingleStore using pipelines
4.Flattening JSON data as required
5.Building a dashboard in PowerBI to visualize the data
-This comprehensive approach not only streamlined the data processing pipeline but also facilitated insightful data visualization, showcasing Vishwajeet's adeptness in handling complex data engineering projects from inception to completion.

Enterprise Solutions Engineer

Fresh Gravity

Working as a data engineer to build an ingestion platform for a product.
Working with Databricks and PySpark to extract and load data from multiple sources into the system for data profiling and quality check. 
Worked on ingesting data from sources like S3, Azure Blob, GCS, Redshift, BigQuery, Snowflake.
data quality check and filtering using pyspark.
deploying singlestoreDB on docker in a Azure VM.
PoC on airbyte ELT tool.

Analyst

worked as a freelance data engineer to design and develop spark jobs for a fintech org. worked with pyspark, sql, aws ec2, python, big query and other big data tech stack

Data Engineer

Lumiq

I worked as a Big data engineer to build a data lake from scratch for an insurance company with a highly skilled team of data engineers. We used the AWS cloud platform. We used python, PySPARK, SQL, SparkSQL for ETL process. We used AWS glue for our ingestion and transformation jobs. we also used API ingestion using python, AWS Lambda, AWS API Gateway.

Big Data Engineer

Tata Consultancy Services

Worked as a Data engineer building optimized ETL pipelines for fluent data migration. 
Building migration pipelines using PySpark and AWS services.
Flowing data from source layer to Distribution layer of a data lake for analysis.
Continuous Analysis for automation and optimization of current processes.

D. Y. Patil College of Engineering & Technology, KASABA BAWADA

Coordinator in the Placement Committee of the institution.

Placement Coordinator

Company NameExpertsHub Industrial Skill Development Center Internship

Trained and worked on Machine Learning Project in Internship Program conducted by Expertshub

Internship | Machine Learning

Big Data Engineer
Python, PySpark, SQL Developer
Capgemini Tech challenge 2020 PySpark runner up.
AWS, Azure Cloud data engineer
worked on Databricks to create ETL/ELT jobs for multiple sources.
API ingestion and API development on AWS cloud .
built Data ingestion platform using Azure Data Factory. 
Data profiling using Databricks and PySpark.
Worked with MemSQL/singlestoreDB.
One of the first ambassadors of SingleStoreDB

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