Saqlain Pasha

Software Engineer

Bengaluru, Karnataka, India4 yrs 10 mos experience

Highly StableAI Enabled

Key Highlights

Built scalable real-time data processing applications.
Implemented canary deployment to enhance reliability.
Developed proof-of-concept for outlier detection.

Stackforce AI infers this person is a SaaS Data Engineer with expertise in real-time data processing and microservices.

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Skills

Core Skills

Data EngineeringMicroservices

Other Skills

Apache PinotJavaSpring BootDockerKubernetesKafkaFlinkSQLMongoDBRedisElasticsearchData AnalysisGrafanaPrometheusOAuth

About

As a cloud data engineer with 5+ years of experience, I am passionate about building reliable and scalable applications. In my current role at Cisco Systems, I have gained experience building a data platform, real-time event-driven applications, data processing pipelines, and microservices using technologies such as Java, Python, Apache Flink, Apache Kafka, Kafka Streams, Docker, Kubernetes, Spring, SQL, MongoDB, Redis, ElasticSearch, Apache Pinot, GraphQL In addition to my technical skills, I am a fast learner and a strong team player with excellent communication and problem-solving abilities. In my free time, I'm a passionate Vibe Coder, exploring the capabilities of AI for developing full-stack applications.

Experience

4 yrs 10 mos

Total Experience

4 yrs 10 mos

Average Tenure

4 yrs 10 mos

Current Experience

Cisco

3 roles

Software Engineer II

Sep 2023 – Present · 2 yrs 9 mos

Apache Pinot

Software Engineer

Aug 2021 – Sep 2023 · 2 yrs 1 mo

I am working as a Cloud Data Engineer at Cisco, where I am part of the Data Platform team for the WebEx Contact Center cloud. As part of my role, I use a tech stack that includes Java, Spring Boot, Docker, Kubernetes, Kafka, Flink, SQL, MongoDB, Redis, and Elasticsearch.
Designed, implemented, and tested features and functionalities to improve the overall product and process
Built scalable, real-time data processing applications capable of handling millions of messages daily
Reduced application downtime during production deployment by introducing a canary deployment mechanism, improving overall system reliability and performance
Increased the security of applications by integrating the vault sidecar mechanism
Analyzed log data to identify opportunities for reducing E2E latency in the data processing pipeline, resulting in actionable insights and improved performance.
Developed functional tests for multiple applications, wrote unit tests with a coverage of over 80% leading to increased efficiency, improved quality and reduced risk of defects
Debugged production issues and provided timely fixes, leading to improved performance and increased customer satisfaction.

JavaSpring BootDockerKubernetesKafkaFlink+6

Software Engineer Intern

Jan 2021 – Jul 2021 · 6 mos

Developed a proof-of-concept for detecting outliers in time-series data using Grafana and Prometheus.
Implemented Authentication and Authorization for a microservice application using OAuth.

JavaGrafana

Sloan technologies

Global Trainee - Data Science

Jun 2020 – Aug 2020 · 2 mos

Provided actionable Insights by analyzing factors that lead to employee attrition
Extracted Insights from Airbnb reviews using Topic Modelling
Analyzed tweet sentiments

Machine LearningNatural Language Processing (NLP)