Naveen Thurimerla
Senior Data & MLOps Engineer
Expertise
Data Engineering
Deep understanding of the entire data lifecycle, particularly focused on designing, developing, and maintaining robust data pipelines. My passion lies in building efficient and scalable systems that seamlessly transform raw data from diverse sources into a consumable format for data scientists, analysts, and other stakeholders.
Tech stack:
Python
SQL
Hadoop
Spark
Kafka
Airflow
Amazon Redshift
PostgreSQL
MySQL
MongoDB
Neo4J
SSIS
SSRS
PowerBI
Amazon Redshift
SQL Server
Azure Data Factory
AWS Glue
Azure Synapse Analytics
GenAI & MLOps
I have experience in automating and simplifying machine learning (ML) workflows and deployments, streamlining processes to enhance efficiency and scalability.
Tech stack:
AWS SageMaker
MLflow
Streamlit
LangChain
DevSecOps & Cloud Engineering
I leverage my expertise to design and implement scalable and resilient cloud solutions. I further empower efficient development lifecycles by driving the adoption of robust DevOps practices, streamlining development and deployment processes.
Tech stack:
Git
AWS
Microsoft Azure
Jenkins
GitHub Actions
Docker
Kubernetes
Terraform
Prometheus
Grafana
Bash
Snyk
SonarQube
Skills
JavaScript
Python
React
Node.js
GraphQL
Docker
Kubernetes
Amazon AWS
Apache Airflow
Apache Kafka
Apache Spark
PostgreSQL
MongoDB
Neo4j
Flask
Django
Jenkins
CircleCI
GitLab
Power BI
Tableau
Ansible
Terraform
Microsoft SQL Server
MySQL
Redis
Elasticsearch
Hadoop
Jupyter
Pandas
Postman
Swagger
Prometheus
Grafana
Excel
Databricks
Presto
Snowflake
Superset
Supabase
Hive
ArgoCD