Gunja Singh

Data Engineer

Varanasi, Uttar Pradesh, India5 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Over 5 years of experience in data engineering.
Expert in cloud platforms: AWS, Azure, GCP.
Proven track record in building scalable data solutions.

Stackforce AI infers this person is a Data Engineer specializing in SaaS and cloud-based data solutions.

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Skills

Core Skills

Data EngineeringCloud Computing

Other Skills

End-to-end data pipeline designETL/ELT developmentData modelingCloud platformsBig Data technologiesSQLPythonAWSAzureGCPSparkHadoopKafkaETL/ELT workflowsCloud services

About

Data Engineer with over 5 years of experience in designing, developing, and optimizing data pipelines and data platforms across diverse industries. Skilled in building scalable ETL/ELT workflows, implementing real-time data streaming, and developing robust data models to support analytics, reporting, and machine learning use cases. Proficient in SQL, Python, Spark, and Hadoop, with hands-on expertise in cloud platforms such as AWS, Azure, and GCP. Strong background in data warehousing, big data ecosystems, and workflow orchestration tools like Airflow and Azure Data Factory. Experienced in integrating data from multiple sources, ensuring data quality, and maintaining governance standards. Achievements include migrating on-premises systems to cloud-native architectures, reducing processing costs while improving scalability and performance, and leading the development of high-volume pipelines handling millions of daily transactions. Collaborated with cross-functional teams to deliver business-ready datasets that drive decision-making and innovation. Passionate about solving complex data challenges, improving system performance, and enabling organizations to leverage data as a strategic asset.

Experience

Tata consultancy services

Senior Data Engineer

Jul 2022 – Present · 3 yrs 8 mos · Noida, Uttar Pradesh, India · Hybrid

Data Engineer | 5+ Years of Experience in Scalable Data Solutions
I am a Data Engineer with over 5 years of experience designing and implementing data pipelines, data warehouses, and real-time streaming solutions to support business intelligence and advanced analytics. My expertise lies in building scalable, reliable, and efficient data systems that enable organizations to harness the full potential of their data.
Core Skills:
End-to-end data pipeline design and optimization (batch and streaming)
ETL/ELT development and automation using modern frameworks
Data modeling, warehousing, and integration across heterogeneous systems
Cloud platforms: AWS, Azure, and GCP for data storage, compute, and orchestration
Big Data technologies: Spark, Hadoop, Kafka, Databricks
Strong SQL and Python for data engineering and analytics support
Experience Highlights:
Architected and deployed data pipelines handling millions of records daily, ensuring high availability and performance.
Migrated on-premise data systems to cloud platforms, improving scalability and reducing costs.
Partnered with data scientists and analysts to deliver production-grade datasets for ML models and BI dashboards.
Implemented monitoring, data quality checks, and governance frameworks to maintain accuracy and reliability.
I am passionate about building data ecosystems that not only solve today’s business problems but are also future-ready, enabling teams to innovate and grow with confidence.

End-to-end data pipeline designETL/ELT developmentData modelingCloud platformsBig Data technologiesSQL+3

Infosys

Software Engineer

Aug 2020 – Jun 2022 · 1 yr 10 mos · Hyderabad, Telangana, India · Hybrid

As a Data Engineer with 2+ years of experience, I specialize in designing, developing, and optimizing data pipelines and ETL processes that empower organizations to make data-driven decisions. I work with modern data engineering tools and cloud platforms to ensure data is reliable, scalable, and business-ready.
What I Do:
Design and build ETL/ELT workflows to move and transform data from diverse sources.
Develop and maintain data pipelines for batch and real-time processing.
Implement data modeling, warehousing, and integration strategies for analytics and reporting.
Work with cloud services like AWS / Azure / GCP for storage, processing, and orchestration.
Collaborate with data scientists and analysts to deliver clean, high-quality datasets.
Tech Stack:
Python | SQL | Spark | Hadoop | Airflow | Kafka | Snowflake | Azure Data Factory | Databricks | Power BI/Tableau
Impact:
Improved pipeline efficiency by automating workflows, reducing processing time by X%.
Built scalable data ingestion solutions supporting real-time analytics.
Ensured data quality and governance practices for reliable business reporting.
Passion:
I thrive on solving complex data challenges, optimizing performance, and turning raw data into valuable insights that drive business outcomes.