Namrata N.

Senior Software Engineer

Dublin, County Dublin, Ireland10 yrs 1 mo experience

Highly Stable

Key Highlights

Expert in building large scale data platforms.
Led zero data loss migrations across cloud environments.
Skilled in observability and disaster recovery solutions.

Stackforce AI infers this person is a Senior Distributed Systems Engineer specializing in SaaS and Fintech.

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Skills

Core Skills

Distributed Systems EngineeringData EngineeringInfrastructure EngineeringApplication Performance EngineeringSoftware Engineering

Other Skills

AWSAmazon Web Services (AWS)Analytical SkillsAnomaly DetectionAnsibleApache PinotApache SparkArgoCDAutomationAzureCache CoherencyCloud ApplicationsCloud ComputingCloud-Native ApplicationsCommunication

About

I am a Senior Distributed Systems Engineer with expertise in building large scale data and observability platforms. I have designed and operated systems that process petabytes of data (observability and analytics) daily across on-prem and cloud environments. My experience spans Spark, Kafka, Kubernetes, Elasticsearch with a focus on scalability, reliability, and compliance. I have led zero data loss migrations, built zone aware traffic management with Prometheus-based observability, and implemented disaster recovery for mission critical services. Skilled in Java, Golang, Python, and Haskell, I bring a strong background in data engineering, distributed storage, and resilient platform design.

Experience

Workday

Senior Software Engineer

Aug 2022 – Sep 2025 · 3 yrs 1 mo · Dublin, County Dublin, Ireland

Data platform engineer for logs platform deployed on kubernetes
Using structured streaming with Spark and Kafka to ingest petabytes of logs in Elastic
Airflow based workflow management for spark jobs and monitoring of EMR workloads
B/G elasticsearch clusters upgrades for enable homogenous scaling with no data loss
Multi AZ deployments with cell based architecture on AWS and GCP
Metrics platform reliability engineering
Connection trimming logic leveraging metrics trends, rolling averages, and dry-run simulations to failovers in golang
Pivotal in defining SLOs for the aforementioned services, regular on-call participation

KubernetesApache SparkKafkaElasticsearchAWSGCP+3

Zendesk

Senior Software Engineer

Aug 2020 – Aug 2022 · 2 yrs · Dublin, County Dublin, Ireland

Infrastructure engineer for OLAP system on datastores team
Based on Apache Pinot and Flink, orchestrated and run on Kubernetes hosted on GCP
Achieving near-real time data delivery, with in-stream deduplication, from source to kafka topics to bigquery
Leading the project for consolidated identity/master identity stored in Postgres to facilitate GDPR controls for data in BigQuery
Optimising storage solutions
Postgres for universal identity management
Kafka topics for high-load data processing and sampling
Memory optimization of on-disk cache in golang application
GDPR and SOC2 compliance practices in data ingestion pipelines

Apache PinotFlinkKubernetesPostgresGDPRKafka+2

Dynatrace

Cloud Software Engineer

Feb 2017 – Aug 2020 · 3 yrs 6 mos · Austria

R&D in application performance analytics with a focus on fault domain isolation and Dynatrace causal reasoning engine.
Created Apache Spark cluster to do random sampling and analysis data
Added autoscaling to 200-node Kubernetes cluster using NoOps philosophy and autonomous cloud enablement
Optimising storage framework for time-series data and improving data encryption at rest and transit on AWS clusters
Implementation of sampling and analysis of data using probability set tests for
change point and anomaly detection
Development of an operator to deploy oneagent on kubernetes/openshift.
OSS Contribution to dynatrace operator framework

Apache SparkKubernetesAWSData EncryptionAnomaly DetectionApplication Performance Engineering+1

Razorpay

Software Engineer

Jul 2015 – Jan 2017 · 1 yr 6 mos · Bangalore

ETL pipeline in Golang for log replication using Kafka
Move microservices from EC2 to 50-node Kubernetes cluster deployed with autoscaler
Used flannel for networking, envoy for reverse-proxy and creating a service mesh.
Added observability using prometheus and distributed tracing using jaeger
Templating organisation-wide kubernetes deployment best practices making it easier for developers to deploy apps on the cluster
Core payments - Integrating with banks, integrity checks (encryption and security), terminal rotator for payment gateways
Payment solutions - customised report generation (php), subscription based payments and internal RBAC (php)

GolangKafkaKubernetesPrometheusPHPSoftware Engineering+1