Rakesh Kumar

DevOps Engineer

India1 yr 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable data pipelines.
Proficient in cloud-native data solutions.
Strong background in data visualization and analytics.

Stackforce AI infers this person is a Data Engineering expert with a focus on AI and cloud solutions.

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Skills

Core Skills

Data EngineeringCloud ServicesData WarehousingData Analysis

Other Skills

AWSAmazon RedshiftAmazon Web Services (AWS)Analytical SkillsAnalyticsApache AirflowApplied MathematicsArtificial Intelligence (AI)Attention to DetailBig DataBig Data AnalyticsBusinessBusiness AnalysisBusiness InsightsBusiness Intelligence (BI)

About

I am a results-driven Data Engineer with a strong foundation in SQL, Python, RAG, and data visualization. With experience in data engineering and analytics, I specialize in extracting meaningful insights from data to drive business decisions.Analyze complex datasets to identify trends and patterns.Build dashboards and reports using Power BI/Tableau.Optimize SQL queries for efficient data retrieval.Use Python (Pandas, NumPy, Scikit-learn) for data processing, data pipeline and predictive modeling.Translate business needs into actionable insights.A proactive team player with a strong ability to streamline processes and foster cross-functional collaboration to improve productivity.Immediate joiner can join within less than 8 days.

Experience

1 yr 1 mo

Total Experience

1 yr 1 mo

Average Tenure

Current Experience

Synramtechnolab- evolve and involve digitally

AI Data Engineer

Aug 2025 – Oct 2025 · 2 mos · Gwalior, Madhya Pradesh, India · Hybrid

Built RAG (Retrieval-Augmented Generation) pipeline integrating LLMs with external knowledge sources.
Migrated vector embeddings from FAISS to Qdrant Vector Database, improving similarity search efficiency.
Worked on large-scale data processing and analytics using PySpark on Databricks.
Gained hands-on experience with AWS services (S3, Glue, Athena, EMR, Lambda) for designing scalable data workflows.
Collaborated with cross-functional teams to deliver high-performance, cloud-native data solutions.

RAGLLMsPySparkAWSdata workflowsData Engineering+1

Infosys

Data Engineer

Feb 2022 – Apr 2023 · 1 yr 2 mos · Chandigarh, India · Hybrid

Designed and implemented ETL pipelines using Python, SQL, and Apache Airflow to extract data from APIs, flat files, and databases (MySQL/PostgreSQL).
Built data models and transformed raw data into structured formats using dbt and Snowflake.
Created and maintained a data warehouse for efficient querying and reporting.
Implemented data validation and quality checks to ensure data accuracy and consistency.
Collaborated with analysts and stakeholders to understand business requirements and optimize pipelines.
Automated daily workflows and alerts to monitor pipeline health and failures.

ETLPythonSQLApache Airflowdata warehouseData Engineering+1

Bharat dynamics limited

Data Analyst

Jan 2021 – Jan 2022 · 1 yr · Hyderabad, Telangana, India

Developed and maintained a scalable data pipeline to process, transform, and analyze data for a retail client. The goal was to centralize data from multiple sources and provide clean, queryable datasets for the analytics team.

data pipelinedata transformationdata analysisData Analysis

Doordarshan kendra

Data Engineer Intern

May 2019 – Jul 2019 · 2 mos

Worked closely with the data engineering team to understand data pipelines and ensured data accuracy and consistency.
Designed and developed interactive dashboards in Power BI to visualize key performance indicators (KPIs), helping stakeholders make data-driven decisions.

data pipelinesPower BIdata visualizationData Engineering