Saniya Najeeb

Senior Software Engineer

Mountain View, California, United States9 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Big Data processing and analytics.
Proven track record in developing scalable data platforms.
Strong experience in cloud services and infrastructure development.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in Big Data and Cloud Infrastructure.

Contact

Skills

Core Skills

Big Data ProcessingData AnalyticsInfrastructure DevelopmentCloud ServicesDevelopment Operations

Other Skills

Algorithm AnalysisAlgorithm DesignAmazon S3Amazon Web ServicesAmazon Web Services (AWS)Android Application DevelopmentAnsibleApache KafkaApache SparkAzkabanBeanstalkdCChefDistributed SystemsDocker

About

Experienced Software Engineer with a demonstrated history of working in Analytics, Data Platform and Infrastructure teams in a distributed computing environment across multiple cloud platforms. Skilled in Big Data processing, Hadoop Ecosystem, Analytics, Infrastructure Development, Performance Monitoring. I am enthusiastic about learning and solving challenging problems and working on different tools and technologies. Skill Sets: Programming Languages: Java, C++, Scala, Python, Ruby on Rails Datastores: MySQL, Redis. Data Analytics: Hadoop, Hive, Spark, Presto Cloud Services: AWS, Azure, GCP. Container Orchestration: Docker, Kubernetes. Configuration Management: Chef, Ansible.

Experience

9 yrs

Total Experience

2 yrs 3 mos

Average Tenure

6 yrs 2 mos

Current Experience

3 roles

Senior Software Engineer

Feb 2025 – Present · 1 yr 4 mos

Senior Software Engineer

Promoted

Apr 2022 – Feb 2025 · 2 yrs 10 mos

Working in the Data Infra team at LinkedIn where we build applications and tools to enable users derive limitless insights and intelligence from LinkedIn’s data. Some projects worked on:
Developed Arka, a comprehensive observability and debuggability platform for LinkedIn's big data ecosystem. Arka integrates metadata and logs from diverse compute/query platforms, enabling a unified search and discovery solution. It delivers crucial insights pertaining to distributed data processing jobs, empowering users with actionable information.
Built an Operational Data Warehouse containing a collection of metadata, operational metrics and events from different big data components at LinkedIn. Users and infrastructure teams can use this data to analyze and generate reports on performance, failures and resource usage of their large-scale data processing jobs.
Tools and Technologies Used: Java, Scala, Hive, Spark, Trino, Gobblin (ETL Framework), Azkaban (Scheduler), Rest.li (REST framework), Galene (in-house search engine based on Apache Lucene), Kafka, HDFS, Espresso (in-house Document oriented NoSQL), Jupyter Notebooks.

JavaScalaHiveSparkTrinoGobblin+9

Software Engineer

Mar 2020 – Mar 2022 · 2 yrs

Worked to provide actionable insights and analysis for LinkedIn’s Big Data ecosystem to drive key business decisions
Built LogStore, a Log Aggregation and Storage Service that consolidates all yarn container logs from Hadoop and Spark applications into a centralized location. This data is organized in a Hive table and can be analyzed using Spark/Trino.
Built Exception Fingerprinting service that provides insights into the exception stack trace and precise reasons for failures in Spark jobs.
Tools and Technologies Used: Java, Scala, Hive, Spark, Trino, Gobblin (ETL Framework), Azkaban (Scheduler), HDFS, Jupyter Notebooks.

JavaScalaHiveSparkTrinoGobblin+5

Qubole

2 roles

Member of Technical Staff 2

Promoted

Sep 2019 – Feb 2020 · 5 mos · Bengaluru, Karnataka, India

Worked in platform and architecture team of Qubole for improving multiple components of the current command processing platform.
Responsibilities:
Developed a framework for computing latencies and aggregating application metrics for monitoring and alerting of the command processing platform.
Built an end to end framework for integrating different Amazon Web Services for securing communication channel from Qubole platform to virtual machines in public cloud.
Worked on improving the caching framework for the commands.
Created command processing services to run on Kubernetes.
Worked on Infrastructure as Code to launch Qubole data service infrastructure in public cloud of customer.
Tools and Technologies Used:
Ruby on Rails, Python, Java, MySQL, Redis, StatsD, SignalFx, Docker, Kubernetes, Chef, Jenkins, Terraform, Amazon Web Services.

Ruby on RailsPythonJavaMySQLRedisStatsD+9

Member of Technical Staff

Jul 2018 – Aug 2019 · 1 yr 1 mo · Bengaluru, Karnataka, India

Qubole is a cloud native Big data as a service platform. It provides a reliable and scalable infrastructural framework for big data analytics.
Worked in Platform and Architecture Team of Qubole which owns the command processing platform to provide an asynchronous middleware for execution of all the commands submitted to Qubole.
I worked on multiple components of the platform for preprocessing, execution and post-processing of the commands.

Directi

Software Engineer

Jun 2017 – Jul 2018 · 1 yr 1 mo · Mumbai

Software Engineer, Development Operations (Directi – Media.net).
Worked in the Email Monetization team of Media.net which was involved in development of Mail.tech, an automated and intelligent email marketing platform which combined delivery, list management, reputation monitoring and affiliate tracking with integrated monetization.
Responsibilities
Running and managing applications on dedicated servers.
Continuous Integration/Deployment of Applications and Cron Management.
Log Collection System using Elasticsearch, Logstash and Kibana.
Live system monitoring and alerting to ensure availability, reliability and fault tolerant running of services.
Automation of tasks through scripts in Shell/Python.
Tools and Technologies Used
OVH, Proxmox, Ansible, Jenkins, Nginx, Elasticsearch, Logstash, Kibana, MySQL, Redis, Beanstalkd, RabbitMQ, Netdata, Prometheus, Grafana, NewRelic, Nagios, Amazon S3.

ShellPythonElasticsearchLogstashKibanaMySQL+11

Indian institute of information technology

Teaching Assistant

Aug 2015 – Nov 2015 · 3 mos · Allahabad, Uttar Pradesh, India

Taught programming to first year engineering students through demonstration on board and conducted labs. I helped the students to develop coding skills in C programming language and to solve several challenging coding problems on various online coding platforms.

Multisoft systems

Summer Trainee

May 2015 – Jun 2015 · 1 mo · Noida Area, India

Undertook Training in Android Application Development which included learning Android Application Architecture, UI Components, Intents, Menus and Dialogs, Notifications and Toast, Broadcast Receivers and Services, Animation, Data Storage, Multimedia, Telephony, Networking with HTTP, Locations and Maps through development of basic applications.
Also developed two applications namely Women Safety App and Find Nearby Places App on completion of the training.
Software Tools Used: Eclipse, Android Studio