Manjul Tripathi

Data Engineer

Bengaluru, Karnataka, India4 yrs experience

Highly Stable

Key Highlights

Expert in building and maintaining data pipelines.
Reduced manual HR processes by 80% through automation.
Improved decision-making efficiency by 35%.

Stackforce AI infers this person is a Data Engineer specializing in SaaS and Fintech with expertise in data pipeline optimization.

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Skills

Core Skills

Data EngineeringData Pipeline Optimization

Other Skills

AWS GlueAirflowAmazon EC2Amazon Relational Database Service (RDS)Amazon Web Services (AWS)Apache AirflowApache SupersetBigQueryCube.jsData ArchitectureData Build Tool (DBT)Data LakesDatabasesExtract, Transform, Load (ETL)Google BigQuery

About

Data Engineer specialized in Python, SQL, and cloud services (AWS). Expert in building and maintaining data pipelines for seamless data flow. Skilled in designing scalable solutions to handle complex datasets. Committed to optimizing data processing and ensuring data integrity.

Experience

5x

Data Engineer

Jun 2025 – Present · 9 mos · Bengaluru, Karnataka, India · Remote

Designed and implemented a full-stack HR Leave Management System using Python (Streamlit), Snowflake, and Slack API; integrated row-level security, event-driven notifications, and automated approval workflows, reducing manual HR processes by 80%.
Built a Conversational AI platform using Cube.js, Node.js, and LLM integration; engineered metric definitions and natural language query parsing to translate business questions into accurate, low-latency analytical insights.
Tech stack: Python (Streamlit), Snowflake, Slack API, Cube.js, Node.js, LLMs, SQL

Python (Streamlit)SnowflakeSlack APICube.jsNode.jsLLMs+3

Karmalifeai

2 roles

Data Engineer

Promoted

May 2023 – Jun 2025 · 2 yrs 1 mo

Developed and optimized scalable data pipelines using Apache Airflow, AWS Glue, and BigQuery, improving data processing speed by 40% and reducing job failure rate below 3%.
Used Python, SQL, and BigQuery to enhance loan performance tracking logic, and delivered actionable insights via Looker , improving decision-making efficiency by 35% during a 20% rise in defaults.
Designed and implemented Python-based event tracking to analyze onboarding drop-offs, driving a 25% boost in user conversion and transaction rates.

Apache AirflowAWS GlueBigQueryPythonSQLLooker+2

Software Engineer

Mar 2022 – Apr 2023 · 1 yr 1 mo

Ensured reliability of daily ETL pipelines and dashboard data sanity across collections and lending domains, enabling consistent reporting and issue-free stakeholder consumption.