Tarun Chilkur

Software Engineer

Hyderabad, Telangana, India2 yrs 3 mos experience

Most Likely To Switch

Key Highlights

Expert in designing robust data pipelines.
Achieved 99.9% data accuracy in complex systems.
Skilled in data visualization with Tableau and Databricks.

Stackforce AI infers this person is a Big Data and Data Engineering expert in the SaaS industry.

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Skills

Core Skills

Big DataData EngineeringBusiness Intelligence

Other Skills

AlgorithmsAmazon Web Services (AWS)Analytical SkillsAnalytical TechniquesAnalyticsBack-End Web DevelopmentClient RelationsComputer ScienceContinuous Integration and Continuous Delivery (CI/CD)Data ExtractionData ManagementDatabasesDatabricksDeep LearningDjango

About

AI and Data Engineer with experience in SQL, python, and big data technologies such as Spark. I'm committed to using data to drive business insights and decision making, with a focus on data quality and efficient pipeline design. Competencies: python, Big Data, SQL, PySpark, Kafka, Airflow, Databricks on AWS, TensorFlow, Business Intelligence, Tableau, ETL, Snowflake, Java, CI/CD, Docker, tensorflow, PyTorch, Langchain, LLMs

Experience

Country delight

Software Engineer - Data & AI

Aug 2024 – Present · 1 yr 7 mos · Hyderabad, Telangana, India · On-site

Building the data platform at Country Delight

Phablecare

Associate Software Engineer - Data Platform

Jun 2022 – Feb 2023 · 8 mos · Bengaluru, Karnataka, India · On-site

Part of a Three engineer team, designed robust data pipelines using Spark, Kafka, python, and SQL.
Improved audit pipeline efficiency by 94%, reducing compute time from 30 minutes to less than 2 minutes. Utilised best design principles to estimate cluster configuration to strike a balance between efficient computes and costs.
Scaled platform to handle 20M+ events hourly across multiple sources.
Ensured high data quality with strict checks achieving 99.9% accuracy between source and target systems.
Collaborated with cross-functional teams to solve problems.
Visualized insights using Tableau and Databricks Dashboards
Built seamless ingestion pipelines with API, PostgreSQL, and CDC.
These efforts made our data systems faster, more reliable, and fully ready for growth.