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11 years of hands-on practice at growing engineering teams, building data-pipeline and big data technologies. I have developed many data pipelines and ETL from scratch to end, web panels for reporting and Hadoop administration. I have gained in-depth knowledge of Python, Databases, Hadoop, AWS, architecture and many more.
I've a rich history of scaling startups, like Gauntlet where as an early engineer and team lead of the platform team, I help grow from series A to $1B valuation
- 7 years of programming experience - 3.5+ years of Python experience, primarily focused on ETL pipelines and web development using Django + React - I've worked at: 2 Fortune 100 companies (Amazon & ConocoPhillips), a mid-sized company, and a SaaS startup, and started my own Software Consulting firm - Broad background (7+ years) of programming experience, everything from iOS development to Java to C# / .NET - Nearly 1 year of volunteer experience teaching people from non-traditional backgrounds how to code
* Lead Software Engineer with a wealth of experience in crafting scalable solutions. * Expertise in technologies like Apache Kafka, Apache Flink, Docker, Kubernetes, and more. * Passionate about mentoring and assisting others in understanding intricate tech concepts. * Committed to continuous learning and keeping pace with evolving tech trends. * Dedicated to delivering top-notch, reliable software solutions. * Adept at collaborating in Agile teams and providing effective leadership. **Skills** * **Programming Languages**: Python, Java, Kotlin * **API Development**: RESTful APIs, API Design Principles, API Security * **Frameworks**: Flask, Django, Spring Boot * **ETL Tools**: Kafka, Apache Spark, Apache Flink, Apache NiFi * **Rule Engines**: Drools * **ELK Stack**: Elasticsearch, Logstash, Kibana * **Monitoring and Visualization**: Grafana, Prometheus * **Kafka Tools**: Kafka CLI, Offset Explorer * **Virtualization**: VirtualBox, VMware * **Virtual Machines**: Ubuntu VM, CentOS VM * **Cloud Platforms**: Microsoft Azure, Kubernetes (K8s), Docker * **Orchestration**: Helm * **Version Control**: Git, GitLab, Bitbucket, GitHub * **Build and Dependency Management**: Maven, POM (Project Object Model) * **Continuous Integration and Deployment (CI/CD)**: Jenkins * **Command Line Interfaces**: Kube CLI, Shell, Bash, Terminal (Windows, Linux) * **Database Tools**: Workbench, SQL Clients * **Documentation Tools**: Confluence, Markdown * **Diagramming**: Gliffy, Lucidchart, Draw.io, Microsoft Visio * **Log Analysis**: Splunk * **Presentation Creation**: Microsoft PowerPoint * **Shell Scripting**: Bash, Zsh
Senior software engineer with 10 years of experience. Started out in the trenches coding, fueled by solving tricky problems and getting hooked on software and data architecture. My passion lies in building products, leading teams and writing simple and efficient code.
Hi! I'm a Machine Learning Engineer with 2+ years of experience in creating deep-dive and root-cause analyses of any kind of data, training and deploying machine learning models and automating processes. I've worked with Python, R, SQL, PowerBI, Pyspark and Databricks and also have experience as a Data Scientist. I've developed many predictive models with techniques like forecasting, classification, clusterization, and regression and also built language models using NLP. **Main skills** * **Languages:** Python, R, SQL, git, DAX, Markdown * **Frameworks/Libs:** Pandas, Numpy, Matplotlib, Scikit-Learn,Streamlit,BeatifulSoup, statsmodels, statsforecast, quanteda, dplyr, tidyr, etc. * **Tools:** PowerBI, PowerAutomate, Airflow
I joined CodeMentor because of my genuine enjoyment of teaching and communication. I bring a solid foundation in programming, data engineering and analytics, as well as experience teaching on a data bootcamp and mentoring people on how to interview and break into tech careers (you can see the student reviews on my LinkedIn).
- As Senior Engineer at my product, I have strong expertise in debugging code, developing scalable designs, and ensuring fast iterations in software cycles. - As ML engineer, I've regularly worked on ML/DL frameworks like pandas, numpy, scipy, sklearn, TensorFlow, pytorch and keras. - I've mentored many juniors and mid-level engineers. Based on your needs & interests, I can guide you on what and how you can improve your professional career in IT field Github Profile: https://github.com/Kshitij68
I have experience as a Data Engineer, Machine Learning Engineer, Organization/Process designer, and Team Leader. I'm looking for part-time work while pursuing personal projects connected both to software and organizational theory. My focus is on Python and Scala, even though I have professional experience in several different languages that I can brush up on if needed. I have plenty of experience in translating business needs or research code into actionable requirements. This includes first and foremost effective communication skills, mediation, and facilitation of meetings. If it's of interest, I can bring to your organization more effective meeting practices and review your process and practices around software development and decision making. I'm also proficient in prototyping and software for internal use, using no-code tools like Notion or Airtable and automation suites like Zapier or n8n.
Senior Data Engineer based on a combination of my strong background and advanced technical skills. With over 6 years of hands-on experience in data engineering, I have demonstrated my ability to design, implement, and optimize ETL/ELT pipelines that align with business/customer requests . Worked with GCP(Bigquery,PubSub, GCS, Dataproc, Cloudbuild, CloudRun) . Used Airflow to schedule ETL pipelines. . Used SQL, DBT and Pyspark dataframes to transform the data. . Used Terraform for infra management. . Used Python in lots of cases, Docker to make my app containerized. . Worked with Snowflake as a Cloud Datawarehouse
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The length of a project depends on many factors, including the scope of your project and the technical complexity of it. When you post a freelance Airflow project request on Codementor, you’ll have the option to indicate when you’d expect the project to be completed. We suggest chatting with the interested developers to ensure both sides are on the same page. For more information on how to post a freelance Airflow request on Codementor, check out our article.
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We do a comprehensive technical and communications screen of all Airflow developers at Codementor. Our network includes book authors, popular open source contributors, top Stack Overflow users and engineers at top tech companies. In addition, to continually ensure the quality of our freelancers, we regularly check in on existing Airflow developers’ user satisfaction rates.
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