DIVYANSH TAK

Data Engineer

https://www.opentalent.in/divyansh-tak

Data Engineer with 2+ years in ETL, Power BI, and AI Agents

Dataoids Analytics LLP.

Key Strengths

Strong experience in designing and orchestrating ETL pipelines using Apache Airflow, demonstrating proficiency in dependency-managed scheduling and improving reliability.
Proficient in distributed data processing with Apache Spark (PySpark), handling large-scale transformations and optimizing performance.
Experience in developing Generative BI Agents using Python, LangChain, N8N, RabbitMQ, and Celery, showcasing advanced data engineering and AI integration skills.
Demonstrated ability to develop Power BI dashboards and complex paginated reports, indicating strong data visualization and reporting capabilities.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Data Engineer with ~3 years of experience building ETL pipelines, Power BI dashboards, and AI Agents for retail, finance, and energy clients. Proficient in SQL, Python, Apache Airflow, Langchain, and n8n workflow automation. Built generative BI agent that eliminated 70% of manual reporting effort combining data engineering depth with AI agent development for modern data roles.

Top Skills

PythonSQLPandas

Skills

PythonC++SQLDAXData ModelingAirflowSSISMssqlPostgresqlMysqlPower BIData VisualizationRegression AnalysisPandasNumpyStreamlitPydanticSMTPSeleniumApacheGitElasticsearchSnowflakeCI/CD pipelinesDockerMicrosoft AzureApache SparkDatabricksLangchainn8nRabbitmqCeleryPysparkOpencvMediapipe

Education

Indian Institute of Information Technology Una, H.P.

B.Tech · Electronics and Communication Engineering

August 1, 2020 – June 30, 2024

Experience

Dataoids Analytics LLP.

Data Engineer

May 1, 2024 – Present

Delhi, Delhi, India

Sarv Deepcall Pvt Ltd.

Software Engineer Intern

January 1, 2023 – June 1, 2023

Jaipur, Rajasthan, India

Projects

Naam App

January 1, 2023 – June 1, 2023

Designed an image compression and cropping algorithm, improving accuracy by 40% over the previous model. Integrated a real-time image database pipeline enabling automated conversion of over 1 Crore images at scale.

View Project

Key Strengths

Strong experience in designing and orchestrating ETL pipelines using Apache Airflow, demonstrating proficiency in dependency-managed scheduling and improving reliability.
Proficient in distributed data processing with Apache Spark (PySpark), handling large-scale transformations and optimizing performance.
Experience in developing Generative BI Agents using Python, LangChain, N8N, RabbitMQ, and Celery, showcasing advanced data engineering and AI integration skills.
Demonstrated ability to develop Power BI dashboards and complex paginated reports, indicating strong data visualization and reporting capabilities.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's experience spans different domains (retail, manufacturing, AR/AP, renewable) and includes both corporate and personal projects, indicating adaptability and a broad interest in applying data engineering solutions. The involvement in a full-stack Generative BI Agent project suggests a proactive and innovative approach, which aligns well with a dynamic, forward-thinking team culture. The mention of solving 200+ DSA problems on LeetCode and InterviewBit demonstrates a commitment to continuous learning and problem-solving.

Soft Skills & Operational Fit

The candidate's resume highlights project ownership and impact (e.g., 'reducing manual analysis time by 70%', 'improving data retrieval speed by 40%'), suggesting a results-oriented approach. Experience with Airflow and CI/CD pipelines implies an understanding of operational reliability and automation. The Generative BI Agent project indicates an innovative mindset and ability to integrate diverse technologies.