Raaj Tilak Sarma

Product Manager

Guwahati, Assam, India6 yrs 4 mos experience

Highly Stable

Key Highlights

Expert in ETL/ELT processes and AWS services.
Strong programming background in Python and SQL.
Experience in predictive modeling and data visualization.

Stackforce AI infers this person is a Data Engineering and Analytics specialist in the SaaS industry.

Contact

Skills

Core Skills

Data EngineeringData WarehousingData AnalyticsMachine LearningRemote SensingData ScienceSoftware Development

Other Skills

AWS LambdaAlgorithmsAmazon RedshiftAmazon S3Amazon Web Services (AWS)Apache AirflowApache SupersetC++Cascading Style Sheets (CSS)Continuous Integration and Continuous Delivery (CI/CD)Convolutional Neural Networks (CNN)Data MiningData ModelingData OpsData Visualization

About

Hello👋, 🚀 Currently working as an Analytics Engineer at The Guitar Center Company. 🧑‍💻 I'm well-versed in ETL/ELT processes and AWS services, including AWS Redshift for data warehousing. Alongside my analytics and data engineering skills, I have a strong programming background in Python/SQL and have previously written efficient code in Flask, Django, WPF, C, C#, C++, Java, and Bash. I’ve worked with both relational and non-relational databases, LLMs (Language Models), and vector data stores. Past Work: 👨‍💻 At Packt, I worked on data modelling and maintaining efficient containerized modern data stacks using open-source tools like Airflow, DBT, Meltano, and Superset. 👨‍💻 At BSA, I focused on predicting air quality from satellite imagery as part of a Climate Tech ML project. 👨‍💻 At Atlan, I worked on ML/predictive modeling for demographic distribution serving data for Atlan's GRID API. What other stuff I enjoy: 🏔️ High Altitude Trekking 🛹 Skateboarding 🎹🎸 Playing instruments 🎧 Sound production 📚 Reading fiction

Experience

6 yrs 4 mos

Total Experience

2 yrs 7 mos

Average Tenure

1 yr 1 mo

Current Experience

The guitar center company

Analytics Engineer

May 2025 – Present · 1 yr 1 mo · Remote

SnowflakedbtApache AirflowSQLData WarehousingData Engineering

Packt

2 roles

Senior Data Engineer

Promoted

Sep 2021 – Apr 2025 · 3 yrs 7 mos

Leading the Data Engineering Team at Packt, managing ELT stack (Airflow, dbt, meltano) in containerized environments, ensuring robust CI/CD.
Oversee end-to-end data requests for customer insights, product analysis, and market research.
Integrate various data sources (e.g., Mailchimp, Zuora, Netsuite, Heap, Intercom) for a unified data ecosystem.
Create, maintain and optimize data pipelines for user preferences, improving Packt's subscription platform and ecommerce store.

Apache SupersetData EngineeringMeltanoData WarehousingData Modelingdbt+3

Data Engineer

Jul 2020 – Aug 2021 · 1 yr 1 mo

Migrated 80+ legacy cron services to Airflow DAGs, streamlining data processing.
Achieved increase in user engagement through a product recommendation pipeline.
Automated data pipelines for campaigns, publishing, contracting, and more from 20+ data sources
Developed reusable Python resources and Airflow components for the team.
Analyzed and automated Finance processes including Royalties, MRR, and Activation rates.
Created 50+ data pipelines for numerous SaaS platforms (Intercom, Zuora, Netsuite, Mailchimp).

Data AnalyticspythonAmazon RedshiftSQLRDBMSdbt+4

Blue sky analytics

Data Scientist

Aug 2019 – Mar 2020 · 7 mos · Gurgaon, India · On-site

Developed and deployed end-to-end spatial forecasting models for air-quality and pollutant concentrations for pm2.5, SOX, NOX and other greenhouse gases.
Automated retrieval of terabytes of satellite image data using Python Lambda functions and AWS Lambda layers.
Optimized hyper-parameters and deployed trained temporal forecasting models in AWS Sagemaker.
Utilized image data from Sentinel 5p, Modis, and other satellites, scripting mainly in gdal, bash, and Python.

pythonRemote SensingMachine LearningAWS Lambda

Atlan

Data Science Intern

Jan 2019 – Jun 2019 · 5 mos · South Delhi, Delhi, India · On-site

Developed spatial demographic and affluence models for the Grid API, incorporating alternative data sources.
Utilized Google S2 and Uber H3 geometries for efficient modeling.
Created a Flask-based spatial data API to facilitate team usage.
Worked extensively with vector and raster datasets, employing tools like QGIS and Python packages such as GeoPandas, shapely, fiona, and APIs like OpenStreetMap for effective spatial data handling.

Data VisualizationpythonData ScienceMachine LearningQgis

Senseforth.ai

Summer Intern

Jun 2018 – Jul 2018 · 1 mo · Bengaluru, Karnataka, India · On-site

Developed a Java-based Speech-To-Text converter using CMU Sphinx 4 and tailored an Indian acoustic model to suit recordings gathered through a dedicated audio data collection website.
Employed gradlew for seamless app deployment, streamlining the deployment process.
Utilized nginx to gather audio recordings, essential for training a Hidden Markov Model (HMM).

JavaSoftware Development