Ankita Mehta

DevOps Engineer

India10 yrs 3 mos experience

Highly Stable

Key Highlights

Expert in building scalable data pipelines and machine learning models.
Passionate about community-building and mentoring in tech.
Strong technical foundation with a focus on real-time data processing.

Stackforce AI infers this person is a Data Engineering and Machine Learning expert in SaaS environments.

Contact

Skills

Core Skills

Data EngineeringMachine Learning

Other Skills

GoLangKafkaELK stackdata processingreal-time insightsdata pipelinesLLM solutionsStructured StreamingTerraformdata ingestionPythonApache AirflowSnowflakeAWSPySpark

About

I am a free-spirited, curious individual with a passion for technology and community-building. With a strong technical foundation and a knack for learning, I thrive at the intersection of data, innovation, and impact. Proudly a data nerd 😅, I’m committed to leveraging my skills to drive meaningful outcomes. At Arista Networks, I specialize in developing low-latency Kafka consumers for the ELK stack using GoLang, enhancing data processing capabilities for real-time insights. My experience extends to building robust end-to-end data and machine learning pipelines, having contributed to cutting-edge platforms at Arista and Firework. From structured streaming to scalable pipeline orchestration, my work aims to empower teams with reliable data infrastructure and unlock the potential of machine learning solutions. Beyond the technical realm, my mission is to foster communities where individuals inspire and uplift one another. I believe in using technology not just to solve problems but to create opportunities for growth, collaboration, and lasting impact. Whether through innovation in data engineering or mentoring others, I strive to be a catalyst for positive change.

Experience

10 yrs 3 mos

Total Experience

2 yrs

Average Tenure

Current Experience

Arista networks

Software Engineer (Data/ML)

May 2022 – Feb 2026 · 3 yrs 9 mos · Vancouver, British Columbia, Canada

At Arista Networks, I focus on building low-latency Kafka consumers for the ELK stack using GoLang, optimizing data processing for real-time insights. This journey has been both challenging and rewarding, offering opportunities to innovate and enhance real-time data workflows.
My experience extends to designing and deploying end-to-end data pipelines, machine learning models, and LLM (Large Language Model) solutions that enable platforms to scale efficiently. From robust infrastructure to advanced AI-driven capabilities, I strive to create solutions that drive impact, unlock potential, and power innovation in data-driven system.

GoLangKafkaELK stackdata processingreal-time insightsData Engineering+1

Firework

Data/Machine Learning Engineer

May 2021 – May 2022 · 1 yr · Toronto, Ontario, Canada

Designed and implemented end-to-end data and machine learning pipelines to support a short stories platform, enabling seamless data ingestion, processing, and model deployment.
Developed a near real-time data pipeline using Structured Streaming with Autoloader and Delta Tables, while automating infrastructure setup and CI/CD workflows with Terraform for efficient and scalable deployment.

data pipelinesmachine learningStructured StreamingTerraformData Engineering

Hudson's bay company

Data Engineer

Nov 2020 – May 2021 · 6 mos · Toronto, Ontario, Canada

Developed end-to-end data engineering pipelines to seamlessly ingest data from multiple sources, including Kafka streams, into Snowflake tables. Leveraged Python for data processing and orchestration, implemented workflows efficiently using Apache Airflow to ensure scalability and reliability.

PythonApache AirflowKafkaSnowflakeData Engineering

Loyaltyone

Data Engineer II

Sep 2020 – Nov 2020 · 2 mos · Toronto, Ontario, Canada

As part of the Analytics and Insights team of LoyaltyOne, I am working on building Data Pipelines for AirMiles Reward Program. I am using Amazon Web Services and Databricks Notebooks which involves extensive hands-on with PySpark and AWS lambda functions.

AWSPySparkDatabricksData Engineering

Dailyhunt (versé innovation pvt ltd)

Data Engineer (Machine Learning)

Oct 2019 – Aug 2020 · 10 mos · Bengaluru, Karnataka, India

My work at DailyHunt involves building ML models which would recommend relevant ads for its mobile app platform. I am working on tasks like building audience lookalike models for ad targeting and looking at different aspects of user's interaction with DailyHunt's news content along with Ad. I work on Apache Spark in Python/Scala to handle data at scale, Kafka for dealing with streaming data.

Apache SparkPythonKafkaMachine Learning

Factset

Machine Learning Engineer II

Jun 2017 – Oct 2019 · 2 yrs 4 mos · Hyderabad Area, India

As a machine learning engineer for the Cognitive Computing Group at Factset, I am involved in text mining (NLP) based solutions for extracting PDF/HTML/TXT documents and classifying the relevant tags. It involves applying various machine learning algorithms to improve content extraction. We also working with Amazon Web-Services (S3 for storage, EC2 for compute and SageMaker Algorithms) for scalable development. I am responsible for end-to-end product development from talking to business owners for content improvement till delivering end product.

NLPAWSmachine learning algorithmsMachine Learning

Indraprastha institute of information technology, delhi

Junior Research Fellow

Jan 2017 – May 2017 · 4 mos · New Delhi Area, India

Involved in the project titled - Investigating Scalable Algorithms for Some Macro-Level Transportation Problems on Graph-Based Representation of Road Networks. Developed 3 local re-adjustment based approaches for load balancing for network Voronoi diagram.

Udacity

Udacity Project Reviewer & Mentor

Sep 2016 – Jan 2019 · 2 yrs 4 mos

As a Udacity Project Reviewer, I review student project submissions for "Analyze A/B Test Results Project" and "Trading with Momentum, NLP on Financial Statements - AI For Trading", striving to give actionable and helpful feedback. As a Udacity Mentor, I mentor over 100+ Data Analyst Nanodegree students though Study Groups, Study Hall and mentor platform combined with the goal to help them get best out of the Program at Udacity & career guidance in general.

Infosys

3 roles

Test Engineer (UAT) - System Assurance

Aug 2013 – Oct 2014 · 1 yr 2 mos

Have worked as part of System Quality Assurance(QA) and testing environment for multiple projects.
Created specific test strategies, test plans, test conditions and scripts, executing tests, prepared test summaries and reports
Experienced in both individual and team work.
Professional training in software testing theories, procedures and methodologies. Also have professional banking domain knowledge.

Systems Engineer

Jun 2012 – Jul 2013 · 1 yr 1 mo

Experience:
Experienced with working on dynamic and constantly evolving technology oriented environment which demands high adaptabilty, learnability and interpersonal skills.
As a part of Mobility Unit, trained in development of Windows 8 Application with XAML.
Involved in Development of Windows 8 Store Apps as well as Windows 8 Phone apps.
Represented the Company at Microsoft Windows 8 App Fest held in Banglore.