Chandan kale — DevOps Engineer

• Project Management Methodologies: Agile, Scrum, Waterfall, SAFe, PRINCE2, PMBOK, Lean Six Sigma, Kanban, EVM, Stage-Gate, Systems Engineering V-Model , Regulatory Gates. • Expertise in Industry 4.0, Production Planning & Control (PPC), Big Data Analytics, Supply Chain Analytics, Industrial IoT, and Data-Driven Digital Supply Chains. • Skilled in Tech strategy. • Knowledge of commodity markets • Research : Quantum Computing, Neuromorphic Computing, Post Quantum Cryptography, AGI, AI Systems, Digital Signal Processing, Quantum Neural Networks (QNNs), Photonic Computing, lithography machine, Fusion reactors. Comprehensive tech stack: • Programming languages: Python, PySpark, Java, Scala, Go, Rust, R, Erlang, C, C++, C#, Zig, Julia, Ada, Assembly, Ruby on rails. • Scripting languages: Bash, Powershell, Bat Scripts. • Query Langauges: ANSI SQL, SQL, KSQL, Cipher, CQL, Spark SQL, Flink SQL, Power Query. • Databases: RDBMS SQL, NoSQL, Graph databases, Vector databases, Data Warehouses, Data Lakehouse • OS: Windows, Linux ( RHEL, Ubuntu, Kali, Arch Linux ), ROS 2 • CAD and CAE : CATIA, Creo, ANSYS. • Quantum SDK: Qiskit, Cirq, PennyLane, Braket, Tket, BQSKit, Microsoft Azure Quantum • ERP systems, SDLC management, Microservice Architecture, Agentic AI Systems, Big Data Systems, AI Systems. • Backend Frameworks : Flask, FAST API, Django, Gin, Springboot, Actix Web, Axum, Akka. • Frontend Frameworks : React, Flutter, HTML, CSS, Javascript, Next Js • API Architecture : REST API, SOAP API, MQTT, MCP Server, gRPC,Websockets. • AI Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face, ONNX, JAX, Langchain, Langgraph, Crew AI, Ray, CUDA. • IDE : Visual Studio Code , PyCharm, IntelliJ IDEA, Anaconda, Eclipse IDE, JupyterLab,Google Collab, Databricks notebook, Notepad++, Vim, Vi, nano, Neovim, gedit, Sublime Text, R Studio. • Proficient with tools like MS Office and Jira. Data visualization and insights: • Skilled in tools like Power BI and KNIME. Cloud computing and Big Data environments: • Cloud Platforms: AWS, Azure, GCP, Linode, Vultr, Oracle Cloud, AdaniConnex, Custom On-premise. • Big Data Technologies: Hadoop, Spark, Kafka, Flink, Presto, Trino, Databricks, Snowflake, Clickhouse, Dremio, DBT, NATS, Dask, Polars. • Skilled in managing data pipelines (ETL/ELT), Batch, Streaming and implementing Machine Learning models. Cloud computing and DevSecOps Platform: • DevSecOps ( AWS, Azure, GCP, Open Source )

Stackforce AI infers this person is a skilled DevSecOps engineer with expertise in Big Data and cloud infrastructure.

Location: Pune, Maharashtra, India

Experience: 3 yrs 9 mos