Deepthi A. Email & Phone Number

Richfield, Minnesota, US

Senior Data Engineer work with stakeholders and business subject area experts as well aas digital and technology leaders planning and deliveringcloud migration and data development goals. Contribute to use of data and decision intelligence-led solutions.Coding larger features from start to finish by creating and desining features, internal libraries and.

Birmingham, AL, US

Designed and implemented near real time streaming data pipeline using framework based on Kafka,Spark structured streaming. Leveraged Kafka as publish-subscribe messaging system by creatingtopics using consumers and producers to ingest data into the AWS S3 and Snowflake, utilizedpySpark/Databricks for data pre-processing, data loading into delta. Automation.

Sunnyvale, CA, US

• Containerized and Deployed the application using Docker and for leveraged Kubernetes for orchestration to evaluate the model based on error metrics for the classifier model.
• Performed data transformations to populate data into a warehouse table structure that is optimized for reporting using Spark/Pyspark.
• Designed and developed scalable data processing (ETL) and analytics framework and integrated with Azure cloud services. Migrated on-prem databases to Azure data Lake, Azure Blob, Azure SQL Database, Azure SQL.
• Built python classifier model for tagging the PII and PCI attributes in the database tables to meet the Data compliance standards like HIPPA, CCPA, GDPR.

Stamford, Connecticut, US

Designed and built Python/Pyspark-based code generation framework and runtime engine.Orchestrated the pipeline of runtime executables as per standardization and curationneeds on the Hadoop cluster. Built data pipelines to transform, aggregate and process data using Databricks, Databricks Delta, AWS and Azure cloud services and Airflow. Built Spark.

Bentonville, Arkansas, US

• Designed and developed enterprise scale cloud alert mechanism using azure data bricks, Spark/Spark UI data processing framework (Python/Scala) and azure Data Factory. Built data pipelines to transform, aggregate and.
• Built and maintained data transformation jobs and productionalized ETL pipelines for cloud data migration. Performed data loading and transformation tasks using external sources, performed data enrichment and load into.

Durham, US

• Developed a machine learning modelling framework in python which showed potential of 7% improvement in sales per customer with an incremental revenue of ~3M. Leveraged rule-based extraction engines and ensemble of.
• Used big data technology tools to interact with Hadoop data lake for data transformation. Performed ETL on disparate data sources like online transactional data, web services data (RESTful), payment, orders history &.
• Utilized distributed systems and built data pipelines (Python, SQL, Hadoop, Hive, PySpark) to determine product impacts on different marketing channels, and proposed solutions to drive impact for intensive analyses.

Charlotte, North Carolina, US

Implemented a natural language processing and statistical modeling-based approach to find nearest-neighbor incidents reported for products/process that were manufactured across global manufacturing sites. Used Python NLTK package for text mining. Reduced recurring incidents up to 60%.

Basel, Baselstadt, CH

• Designed a robust physician segmentation framework based on physician prescribing potential and adoption rate of branded drugs. Predicted physician lifetime value for each segment groups leveraging APLD patient level.
• Performed A/B testing by sending emails to certain physician segments in the categories while maintaining a control population to observe the incremental impact of the emails.
• Provided distinct segments using unsupervised techniques with key physician characteristics which helped marketing team to prioritize market segments.

Hyderabad, Telangana State, IN

• Developed interactive dashboards using Tableau and made recommendations utilizing exploratory analysis that facilitated evaluation of quality and monitor the performance of BA/BE trial sites that contribute to.
• Worked closely with Business users, and interacted with ETL developers, Project Managers, and members of the QA teams for successful reporting across enterprise and ensured consistency on Key Performance Metrics (KPI’s).

Hyderabad, Telangana State, IN

Performed data analysis on large relational datasets using optimized diverse SQL queries, such as DML and DDL statements including joins, group functions, string functions, and ranking functions.

Master'S Degree, Computer And Information Sciences

Master'S Degree, Biostatistics/Pharmacology