Manage data and cloud infrastructure for a platform that serves multiple business products. Maintenance upgrades on EKS clusters, ElasticSearch cluster, and Aurora Postgres cluster. Migrate data across backend platforms

Go Serverless. Break up a monolith bit by bit and move the pieces into serverless AWS services. Use a sequence of lambdas to serve as a business pipeline. Expose internet-facing apis with OAuth2/JWT security for use by frontends. Provide business with self-service ability to tweak application configs without requiring a development team to do a releaseMy first stint in the linux stack. After spending a career in the windows stack, I realized that cloud computing was moving much faster in open source and linux-based companies

Moving from on-premise installations and into the SaaS cloud. Magically takes away all your software versioning and upgrade worries. No more stubborn clients stuck on old versionsBut new problems arise. One bad bug suddenly affects 200 clients at the same time. Since the client's data now lives on our own servers, we needed to isolate client data from each other. Needed to get security-certifiedWe lifted and shifted a legacy system into Azure VMs in the cloud. Did the job, but very expensive to run. OS patching all those VMs took time and resources. Database server scaling was uber expensive. Learned a lot in the process

Stock trading web frontend with an api backend as well as background jobs to execute customized trading rulesAccuracy | Availability | Careful coding | Rigorous testing |

Classic client-server architecture with an offline twist. In-store sales kiosks capable of offline uninterrupted functioning, and then synchronizing with a backend server overnightDiscounts | Taxation | Seasonal sales | Returns | Payment methods | Inventory | Supply-chain |

Back office platform to manage the entire life cycle of college textbooks. Interfaced with legacy IBM AS400 system for inventory and accountingPublishing | Wholesale | Retail | Buyback | Resale |