Manager Data Engineering US P&BB

Tata Consultancy Services

Client: BMO
1. Design and Develop 300+ features for modelling dataset for Retail Deposit Models, Retail Lending Models and Business Models.

2. Collaborate with the business stakeholders to understand the current state and future requirements.

3. Develop the data models and data dictionary for US P&BB Modelling dataset.

4. Engage with the leaders to define the product definitions, identify target population and validate against established standards.

5. Set up the model training and models scoring process.

Technical Lead - Data 

Open Model Risk Management

Community Development Volunteer

Honeywell

1. Implemented and deployed applications having 8 microservices, leading to increased efficiency and productivity for the organization.

2. Developed automated deployment pipelines using Docker and Docker-Compose, reducing manual errors and improving deployment speed.

3. Collaborated with cross-functional teams including development, testing, and operations to ensure smooth deployment and maintenance of the applications.

Data Engineer II (R & D)

1. Developed the data pipeline for the data ingestion and data transformation with Sqoop and Hive.

2. Integration of open source and custom machine learning models into Data Engineering Platform.

3.  Demonstrated the proficiency in Agile methodologies by consistently following best practices and recommending improvements during each sprint.

Software Engineer

Engineering Intern

University of North Texas

Intern

Technido, Indore

Trainee

A Data Engineer with knack to build end to end ETL pipelines for Machine Learning Applications/Platforms and help business derive profitable insights from data.

Experienced in working with Batch Processing and Streaming Applications  using PySpark and Kafka. 

Strong Knowledge of Hadoop Ecosystem and hands on experience in implementing workflows using Airflow.

Experienced in working collaboratively within fast-paced Agile teams, effectively contributing to project deliverables and achieving team objectives. 

Technical Skills:

Programming Languages: Python, Scala, SQL
Hadoop: Sqoop, Hive, HBase, Spark
Operating Systems: Ubuntu, CentOS, RHEL
File System: Amazon S3 based MinIO, HDFS
Databases: MongoDB, PostgreSQL, Redis
Build & Deployment: Docker, Docker Compose, Docker Swarm, Airflow

Taplio

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