Siddhartha Kumar

Data Engineer

Bengaluru, Karnataka, India6 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

5+ years of experience in data engineering.
Expert in building scalable data platforms.
Certified in Airflow and Databricks.

Stackforce AI infers this person is a Data Engineer specializing in Big Data solutions for enterprise clients.

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Skills

Core Skills

Cloud Data EngineeringProduction-grade EtlMulti-cloud ArchitectureEnd-to-end Data Platforms

Other Skills

API DevelopmentAWSAWS GlueAWS LambdaAirflowAmazon Elastic MapReduce (EMR)Amazon S3Apache SparkApache Spark StreamingAzureAzure Data FactoryAzure Data LakeAzure DatabricksBig DataData Analytics

About

🚀 Data Engineer | Big Data Specialist | Poetic Tech. Enthusiast | Creative Storyteller With 5+ years of hands-on experience building robust, scalable, and future-ready data platforms, I combine technical depth with creative problem-solving. • Architected cloud-based ETL pipelines (AWS, Azure, Airflow, Spark, Python) for Fortune 500 clients; improved time-to-insight, reliability, and data security. • Gold Medal graduate with a proven record in impactful cross-team collaborations and data-driven innovation. • Passionate about turning complexity into clarity—whether optimizing system handling data at scale or crafting technical story for a business audience. 💡 Certifications: Astronomer Airflow Champion, Databricks Architect, Udacity Generative AI ✍️ Poet & storyteller—making data and words sing in harmony. Let's connect to create, collaborate, and unlock business value through powerful data engineering.

Experience

Tiger analytics

2 roles

Data Engineer

Jul 2024 – Present · 1 yr 8 mos · Bengaluru, Karnataka, India

Led the design and launch of cloud-native, multi-tenant data platforms and analytics portals supporting real-time, self-serve insights for Fortune 500 clients, driving measurable improvements in support ticket volume and cost efficiency.
Automated end-to-end marketing analytics and model lifecycle workflows (Python, SQL, Snowflake, Dataiku, Flask), reducing manual effort by 120+ hours/month and enabling +80% operational efficiency for a global pharmaceutical enterprise.
Engineered reusable Data Fabric frameworks leveraging AWS (Athena, S3, Lambda, EMR), Databricks, Airflow, and PySpark to standardize data contracts and monitor reliability across 15+ product teams.
Delivered cross-functional solutions across logistics, pharma, and multimedia for international clients, ensuring on-time delivery and auditable, compliant data operations.
Tech Stack: AWS (S3, Athena, Lambda, EMR, Glue, EC2), Databricks, Snowflake, Apache Airflow, PySpark, Docker, Grafana, PostgreSQL
Core Skills: Cloud Data Engineering, Production-Grade ETL, Scalable Data Pipelines, Real-time Analytics, Stakeholder Management

AWSSnowflakePythonApache SparkREST APIsBig Data+6

Senior Software Engineer- Big Data Engineering

Mar 2022 – Jul 2024 · 2 yrs 4 mos · Bengaluru, Karnataka, India

Led R&D for a custom multi-cloud data platform (AWS & Azure) listed on the Amazon Marketplace, handling end-to-end product engineering, from frontend (ReactJS) to scalable backend data APIs (AWS API Gateway, Lambda, PostgreSQL).
Architected & productionized an ETL pipeline POC using Airflow, Spark/PySpark, and Docker on AWS (EC2, EMR, S3, Lambda)—delivered for a top global entertainment MNC, ensuring robust, scalable big data processing for BI and analytics workloads.
Delivered several client-driven POCs on Azure (Data Factory, Databricks, ADLS Gen2, SQL, PySpark), proving cross-cloud adaptability and driving customer adoption for enterprise analytics.
Championed multi-disciplinary engineering efforts—collaborated with cross-functional teams and delivered technical solutions for both business users and developer platforms.
Core product skills: Multi-cloud architecture, end-to-end data platforms, scalable ETL, Airflow orchestration, product delivery, client stakeholder management.

Azure Data FactoryNumPyAPI DevelopmentSnowflakeData IngestionExtract, Transform, Load (ETL)+27

Futurense technologies

Trainee Data Engineer

Nov 2021 – Feb 2022 · 3 mos · Bengaluru, Karnataka, India · On-site

Developed scalable ETL solutions using AWS, Hive, HDFS, and PySpark; enhanced analytics readiness and data quality for business partners.
Implemented Tableau dashboards to streamline decision-making for enterprise clients.

HadoopData IntegrityData ScienceLinuxPySparkData Analytics+3

Career break

Health and well-being

Jan 2021 – Oct 2021 · 9 mos · India

Suffered from COVID-19 and recovery took time.

Bosch

Graduate Apprentice

Sep 2019 – Dec 2020 · 1 yr 3 mos · Jaipur, Rajasthan, India · On-site

Digitized plant-level KPI and executive reporting (Power BI, SQL), cutting cycle times by 70% and boosting operational visibility.
Conducted machine data analytics and root-cause investigations; improved MTBF by 15–20% and reduced MTTR by 20%.

Data IntegrityData ScienceData Analytics