Aman Pandae

DevOps Engineer

Bengaluru, Karnataka, India6 yrs 2 mos experience

Most Likely To Switch

Key Highlights

Expert in edge cloud technology and IoT devices.
Led a team to optimize payment systems, reducing failures by 85%.
Developed scalable applications enhancing network performance by 25%.

Stackforce AI infers this person is a Fintech and Infrastructure expert with strong skills in cloud technologies and payment systems.

Contact

aman.pandae@windriver.com LinkedIn

Skills

Core Skills

KubernetesNetworkingPayments SystemsData Analysis

Other Skills

AlgorithmsAzure CloudBack-End Web DevelopmentC (Programming Language)C++CalicoCascading Style Sheets (CSS)Code ReviewCommunicationCredit ManagementData AnalyticsData ProcessingData StructuresDatabase QueriesDecryption

About

I am a passionate engineer with a broad skill set and a keen interest in both software and hardware technologies. My areas of expertise include edge cloud technology, IoT devices, microservices architecture, and more. Currently, I serve as a Senior Cloud Engineer at Windriver, where I specialize in networking and edge computing. Previously, I played a pivotal role in the development of the Payments Lifecycle at an e-commerce startup. With proficiency in Kotlin, Java, GoLang, Kubernetes, SQL, and Python, I bring a wealth of technical knowledge to my work. Whether delving into the intricacies of car engines or exploring the realm of autonomous robots, I thrive on challenges and continuous learning. I am committed to driving innovation and delivering solutions that make a meaningful impact. Let's connect and explore how we can collaborate.

Experience

6 yrs 2 mos

Total Experience

2 yrs 1 mo

Average Tenure

3 yrs 1 mo

Current Experience

Wind river

Senior Cloud Engineer

May 2023 – Present · 3 yrs 1 mo · Bangalore

Projects:
1. Cloud Network Performance Visualizer -
Engineered a scalable and stateless GoLang application to retrieve network device information and statistics.
Led API development, versioning, and comprehensive testing, including unit tests, to ensure robustness and compatibility. Orchestrated Helm chart and FluxCD Manifests creation for streamlined Kubernetes deployment and conducted rigorous deployment testing for performance validation.
Helped Integration with Kibana to achieve metrics visualization and performance insights.
Increased Network Performance by 25%
Optimized send and receive kernel parameters and enabled SCTP Autoload feature on the kernel.
Increased Buffer size, leading to reduction of packet loss.
Worked on Integrating and Upgrading CNI Plugins like SRIOV, Calico, Multus
performed various validation test using tools like iperf and tcpdump
Conducted Kubernetes and SRIOV Benchmarking test by applying L2 traffic
and ensured performance consistency compared to older Plugin versions
Maintained Service Mesh Integrations on StarlingX, such as Istio and Kiali. Managed health monitoring
and auto app versioning based on Git History

GoLangKubernetesHelmFluxCDKibanaNetworking+1

Udaan.com

2 roles

Product Engineer L2

Promoted

Jun 2022 – Jun 2023 · 1 yr · Bengaluru, Karnataka, India

Led Payments and Accounting team with 5 engineers, handling complete payments lifecycle, new gateway integrations, IPO-related audit enhancements like RBAC Access control, Reconciliation of Nodal accounts, Finops tech support, Maintenance, and Monitoring.
̲𝑷𝒂𝒚𝒎𝒆𝒏𝒕𝒔 𝑺𝒆𝒓𝒗𝒊𝒄𝒆- Built API systems around Seller and Buyer eco-systems handling customer payments, Refunds, and Settlements using Kotlin/Java and Dropwizard.
Developed fault-tolerant and resilient systems backed by Kubernetes Cronjobs, reducing failure cases by 85%.
Implemented asynchronous processes and ensured thread safety in a highly concurrent environment, enabling seamless processing of large volumes of payment requests.
𝑻𝒂𝒙𝒊𝒏𝒈 𝑺𝒚𝒔𝒕𝒆𝒎:-- Built a RESTful application in Kotlin for processing Tax charges on e-commerce orders.
Set up Pod Autoscaler for 6k RPS with low P99 latency, supporting real-time tax charges at checkout.
Designed and Modeled databases in SQL and handled caching using Redis for faster data retrieval.
𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐝 a one-stop console using Azure Cloud APIs and React-Native for downloading all the financial reports housed in Data lake.
𝐋𝐞𝐝 𝐚 𝐜𝐨𝐬𝐭-𝐞𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞 𝐢𝐧𝐢𝐭𝐢𝐚𝐭𝐢𝐯𝐞 in reducing compute times and costs of SQL queries by optimizing queries
and building Indexes in the accounting cluster,
cutting down expenditure by 40%.
Improved Application 𝐫𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 by building Monitoring and alerting dashboards using Prometheus and Grafana that tracked metrics like API error rates and availability, and CPU utilization.
𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐞𝐝 with cross-functional teams in resolving complex accounting challenges like Bank Reconciliation and Invoicing.

KotlinJavaKubernetesSQLRedisReact-Native+3

Software Engineer

Aug 2020 – May 2022 · 1 yr 9 mos · Bengaluru, Karnataka, India

Ust global

Intern

Jul 2019 – Dec 2019 · 5 mos · Trivandrum, Kerala, India

Sentiment Detection for Financial performance prediction -
1. Automated Data Extraction & Processing: Developed a web scraping pipeline to extract company earnings call transcripts from multiple sources, ensuring a clean and structured dataset for analysis.
2. Scalable Sentiment Labeling: Utilized Snorkel to efficiently label financial text data, reducing manual effort and improving sentiment classification for downstream machine learning models.
3. Stock Market Trend Prediction: Integrated the sentiment-labeled data into a predictive model, enhancing the accuracy of stock market trend forecasting based on company sentiment insights.

Web ScrapingMachine LearningData ProcessingData Analysis