Spark SQL, Pyspark, Etl Development, Python, PyTest-based testing, AI coding assistants such as GitHub Copilot or ChatGPT, GenAI-assisted code analysis testing debugging and documentation, Spark DataFrames, Prompt engineering for technical tasks, Python packaging and runtime dependencies, Python debugging logging and exception handling, Delta Lake, SQL-to-PySpark integration, Responsible AI practices and production data privacy, File ingestion and processing, Code quality tools such as Pylint

Pyspark, Sql, Tensorflow, Nosql, Numpy, Pandas, Pytorch, Gcp, Docker, Databricks, FastAPI, Azure, Python, Kubernetes, AWS, MLflow, Transformers, Delta Lake

Github, Maven, Spring Boot, Eclipse, Blazemeter, React Js, Jmeter, Javascript, Microsoft Azure, Spring Rest, Angular Js, Java, Hibernate, Google Cloud Platform, CSS, Spring Jpa, JQuery, Intellij, Jenkins, REST, Bitbucket, Html5, Apache Kafka, Camunda, Xml, AI-assisted software development tools

Apis, Python, Cloud Technologies, Microservices, CI/CD pipelines

Database Design, Database Management, Restful Apis, Coding Standards, Application performance optimization, Backend application development, Software development best practices, Integration techniques, Python programming language, Service-oriented architectures

Graphql, PostgreSQL, Pytest, Redis, Rabbitmq, Docker, Celery, MySQL, Flask, MongoDB, Python, Kubernetes, Marshmallow, Unittest, Flask-RESTful, Flask-SQLAlchemy, Flask-Migrate

Data Management, Technical Leadership, Api Development, Backend Engineering, Python, ML Fundamentals, Backend Architecture, Security and Privacy, Production Delivery, LLM Application Development, AI Evaluation, RAG and Retrieval

Github, Scripting Language, Sonarqube, Dynatrace, AWS CDK, CI CD