Data Engineering

Delivering value through deep understanding of the business use cases and developing the most complex data engineering pipelines running in production

70% time of all data analysts go in data processing and not analysis. We have the right expertise to build & streamline data processing pipelines so that analysts can truly focus on value generation and not data preparation. Sigmoid continuously ensures to make your data processing:

Powerful
Fast
Reliable
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Our Offerings

ETL and Data Warehousing

Discover new smarter information that matters to your business. Create a production grade data refinery that processes large volumes of versatile data. Reach out to information without worrying about its size or complexity.

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250TB+ Yearly Data Volume

Fortune 100 Retailer

Processed huge volumes of customer and POS data, generating insights within seconds for users through scalable and highly effective data management

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Productionizing ML Models

Realize business gains by integrating production ready machine learning models into your workflows. Develop next generation tools and dashboards that are driven by machine learning models.

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200 automated email variants across 14MN+ customers

Popular Restaurant Chain

Developed an architecture to productionize the MAB model by automating pipelines in AWS that updated a CRM platform to trigger personalized emails to end customers
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Productionizing ML Models

Realize business gains by integrating production grade machine learning models into your workflows. Develop next generation tools and dashboards that are driven by machine learning models.

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200 automated email variants across 14MN+ customers

Popular Restaurant Chain

Developed an architecture to productionize the MAB model by automating pipelines in AWS that updated a CRM platform to trigger personalized emails to end customers
Download Case

Productionizing ML Models

Realize business gains by integrating production ready machine learning models into your workflows. Develop next generation tools and dashboards that are driven by machine learning models.

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Migrating to Cloud

Improve business agility while saving cost by moving to the cloud. Our cloud experts asses and architect the ideal cloud architecture for your business and help in seamless migration without risking production SLA and data quality.

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65% reduction in infrastructure costs

Major AdTech company

Migrated mission critical workload to the cloud. Collaborated with multiple client side teams to migrate proprietary databases and live data pipelines to the cloud.

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Data DevOps

Drive reliable business availability and improve the quality of your data. Rely on us to build and support your data infrastructure, perform faster deployment of data pipelines, increase your overall operational efficiency and achieve faster time to market.

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99% System Uptime Delivered

Software

Provided a stable and highly scalable system with high data availability to effectively manage the infrastructure and prevent application downtime

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99% System Uptime Delivered

Software

Provided a stable and highly scalable system with high data availability to effectively manage the infrastructure and prevent application downtime

Download Case

Data DevOps

Drive reliable business availability and improve the quality of your data. Rely on us to build and support your data infrastructure, perform faster deployment of data pipelines, increase your overall operational efficiency and achieve faster time to market.

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Real-time Interactive Analytics, Sigview

Give your teams access to data in real-time and enable effortless ad-hoc exploration! SigView is a full stack real-time analytics platform that helps analyze billions of ad impressions in real-time and report advertising performance across media platforms.

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< 3 seconds Average Query Response Time

Advertising Technology

Delivered a unified analytics platform to ingest and query data from different sources with the ability to schedule reports and set up alerts

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Contribution in Cloud and Open-Source

We’ve worked extensively on Apache Spark, an open-source big data infrastructure that enables distributed fault-tolerant in-memory computation. Our team has been contributing to the open-source environment for 10+ years and has delivered multiple projects in this space:

  • Committer in Pig
  • 1st Deployment of Spark on GCP
  • Spark Patches
  • 1st Migration of Pig on Spark
  • Frequent Speakers at ApacheCon
  • Written Multiple Blogs on Open-Source Technologies
  • Committer in Pig
  • 1st Deployment of Spark on GCP
  • Spark Patches
  • 1st Migration of Pig on Spark
  • Frequent Speakers at ApacheCon
  • Written Multiple Blogs on Open-Source Technologies
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BFSI 

Set up trade surveillance and made it regulatory compliant

0B
Market Data Event
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Info Services

Delivered a production-grade free flow analytics solution

0M+
Business Records
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CPG

Developed a production ready system to use ML models

0
Requests per Hour
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Hi-Tech

Improved workflows, automated processes to increase uptime

0K
Containers
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Expertise in a broad spectrum of Engineering Technologies

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Leverage our Data Engineering expertise to generate maximum value for your business!

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Recommended Read

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Apache Spark on DataProc vs Google BigQuery

When it comes to Big Data infrastructure on Google Cloud Platform, the most popular choices Data architects need to consider today are Google BigQuery – A serverless, highly scalable and cost-effective cloud data warehouse, Apache Beam based Cloud Dataflow, and Dataproc.

Read Blog